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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. 10-RES-JB
    11. 5103
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    Explanations

    statements that reveal truth or falsehood

    oai_token-act-pair · gpt-3.5-turbo

    statements that reveal unexpected truths or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avanaugh
    -0.67
    boarding
    -0.63
    imony
    -0.62
    raints
    -0.60
    idth
    -0.58
    lished
    -0.58
    assi
    -0.58
    urry
    -0.58
     congr
    -0.58
    umbnails
    -0.57
    POSITIVE LOGITS
     indeed
    1.33
     actually
    1.29
    actually
    1.06
     MUCH
    0.93
     downright
    0.91
     remarkably
    0.89
     REALLY
    0.89
     NOT
    0.89
     quite
    0.83
     Actually
    0.83
    Activations Density 0.388%

    No Known Activations