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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. 22324
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    Explanations

    phrases or words related to official briefings or meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to briefings

    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
    aden
    -0.67
    alde
    -0.66
    amaz
    -0.66
    ardon
    -0.63
    bucks
    -0.63
    neg
    -0.62
     Abram
    -0.61
    relative
    -0.61
     ILCS
    -0.60
    negie
    -0.60
    POSITIVE LOGITS
     briefings
    1.27
     briefing
    1.08
     sessions
    0.84
     briefed
    0.83
     briefs
    0.82
    sheets
    0.79
    ariat
    0.78
    mares
    0.78
     Papers
    0.77
    unci
    0.73
    Activations Density 0.022%

    No Known Activations