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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. 1-RES-JB
    11. 20950
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    Explanations

    words related to specifying conditions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of stipulations or conditions in agreements and laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roses
    -0.73
     Angry
    -0.73
     Randall
    -0.68
     Cascade
    -0.65
     Silent
    -0.64
     Normandy
    -0.63
     Breath
    -0.63
     Webster
    -0.63
     Sandy
    -0.62
     Hutchinson
    -0.62
    POSITIVE LOGITS
     stip
    1.40
    endiary
    1.08
    ulum
    0.92
    abo
    0.82
    ilit
    0.82
    undo
    0.81
    legates
    0.80
    reements
    0.79
    endum
    0.78
    itled
    0.78
    Activations Density 0.007%

    No Known Activations