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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. 8-RES-JB
    11. 8404
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    INDEX
    Explanations

    mentions of previous events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to prior content or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ILCS
    -0.89
    abad
    -0.77
    aliation
    -0.74
     Himself
    -0.71
    atown
    -0.70
    asin
    -0.70
    ocracy
    -0.70
    lua
    -0.70
    cipline
    -0.70
    bucks
    -0.69
    POSITIVE LOGITS
     generations
    1.26
     incarnation
    1.16
    ebin
    1.15
     iterations
    1.06
     incarn
    1.03
     administrations
    1.02
     installments
    1.01
     iteration
    1.01
     eras
    1.00
     editions
    1.00
    Activations Density 0.056%

    No Known Activations