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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. 6003
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    Explanations

    references to specific names or entities, possibly related to politics or news

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and places

    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
    WARD
    -0.84
    gency
    -0.77
    ports
    -0.74
    ences
    -0.74
    gence
    -0.74
    ative
    -0.73
    fitting
    -0.72
    itives
    -0.72
    ga
    -0.71
    idas
    -0.70
    POSITIVE LOGITS
    anooga
    0.86
    bones
    0.81
    avez
    0.81
    bara
    0.81
    unin
    0.76
    icago
    0.73
    isel
    0.71
    bone
    0.69
    agne
    0.68
    owder
    0.67
    Activations Density 0.029%

    No Known Activations