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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. 2478
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    Explanations

    dates or specific time-related events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific incidents or timelines of 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
    inav
    -0.74
    Lean
    -0.73
    ©¶æ¥µ
    -0.72
    ãĤ§
    -0.69
    thood
    -0.68
    ascus
    -0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
    ongyang
    -0.65
    AppData
    -0.65
    igr
    -0.65
    POSITIVE LOGITS
     assailants
    0.83
     protesters
    0.81
     protestors
    0.80
     contestants
    0.77
     protester
    0.76
     combatants
    0.75
     bystanders
    0.74
     gunmen
    0.74
     demonstrators
    0.72
     participants
    0.72
    Activations Density 0.641%

    No Known Activations