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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. 15683
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    Explanations

    words related to automation or mechanization

    oai_token-act-pair · gpt-3.5-turbo

    action words related to processes of automation and control

    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
    ammy
    -0.72
     pleading
    -0.68
    fml
    -0.65
    sle
    -0.63
    umption
    -0.63
    founder
    -0.62
    option
    -0.61
    aver
    -0.61
    acco
    -0.60
    reading
    -0.59
    POSITIVE LOGITS
    ments
    1.06
    ings
    0.97
    ABLE
    0.95
    INGS
    0.95
    odox
    0.88
     yourselves
    0.87
    able
    0.85
    ingly
    0.82
    ables
    0.79
    orate
    0.77
    Activations Density 0.254%

    No Known Activations