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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. 7-RES-JB
    11. 22580
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    Explanations

    proper nouns, specifically names of people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sburgh
    -0.97
    urtles
    -0.87
    ertodd
    -0.84
    ardless
    -0.81
    arding
    -0.75
    plates
    -0.71
    dinand
    -0.70
    enegger
    -0.69
    orld
    -0.64
    ounter
    -0.63
    POSITIVE LOGITS
    hua
    0.88
    leys
    0.86
    lez
    0.84
    uary
    0.79
    jiang
    0.76
    ques
    0.73
    tern
    0.73
    ne
    0.72
    cia
    0.72
    quer
    0.72
    Activations Density 0.073%

    No Known Activations