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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12331
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    Explanations

    quotes or attributed statements enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sources or citations in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    abiding
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     discard
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    acea
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    ":"/
    -0.60
    circle
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     coffers
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    otin
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    POSITIVE LOGITS
    imes
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    iott
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    itcher
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     Radio
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     Observer
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    illi
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    iasm
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    icago
    0.62
     Correspond
    0.60
    inen
    0.60
    Activations Density 0.218%

    No Known Activations