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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 8404
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    Explanations

    references to legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to documents or official paperwork

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    si
    -0.70
    rian
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     Charleston
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     Savannah
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    BuyableInstoreAndOnline
    -0.65
    oise
    -0.65
    sen
    -0.64
    irth
    -0.64
    rians
    -0.64
    arya
    -0.63
    POSITIVE LOGITS
     papers
    1.04
    mith
    0.97
    peed
    0.96
    chool
    0.96
     Papers
    0.85
    etter
    0.80
     towels
    0.78
    pring
    0.75
    ugar
    0.74
    ilver
    0.73
    Activations Density 0.013%

    No Known Activations