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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. 4-RES-JB
    11. 13187
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to software build versions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    izon
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     Lauder
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     Nadu
    -0.70
    mic
    -0.68
    utical
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    mington
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    iren
    -0.68
    POSITIVE LOGITS
    smanship
    0.79
     suspense
    0.73
     decks
    0.72
    offs
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    hent
    0.68
    raft
    0.67
    building
    0.65
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    0.64
    Activations Density 0.026%

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