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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. 16482
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    Explanations

    people's names, specifically those of females

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.84
    orf
    -0.82
    asking
    -0.78
    itutional
    -0.75
    spring
    -0.73
    abol
    -0.71
    nings
    -0.70
     bearer
    -0.69
    fare
    -0.68
    ioch
    -0.68
    POSITIVE LOGITS
     Johnston
    0.93
     Walters
    0.90
     Bind
    0.87
     Ruin
    0.87
     Andrews
    0.86
     McMahon
    0.84
     Bee
    0.82
     Julie
    0.80
     Wallace
    0.80
     Levy
    0.80
    Activations Density 0.012%

    No Known Activations