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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. 9144
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    Explanations

    words related to behavioral actions

    oai_token-act-pair · gpt-3.5-turbo

    actions related to behavior and conduct

    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
    Not in Any Lists

    No Comments

    Negative Logits
    fram
    -0.73
     Solo
    -0.70
    occup
    -0.66
    export
    -0.65
    iler
    -0.65
    source
    -0.64
    user
    -0.63
    lain
    -0.63
    pelling
    -0.63
     landing
    -0.63
    POSITIVE LOGITS
     behave
    1.09
     behaves
    1.09
     behaved
    1.03
    iments
    0.92
     behaving
    0.90
     err
    0.90
     behav
    0.89
     behavi
    0.88
    uate
    0.87
     accordingly
    0.82
    Activations Density 0.010%

    No Known Activations