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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. 11-RES-JB
    11. 3919
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    Explanations

    mentions of mass events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to large-scale violence and death

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gers
    -0.79
    warts
    -0.73
    BILITY
    -0.69
     Bil
    -0.64
    BLE
    -0.64
    shire
    -0.63
     Pill
    -0.62
    cone
    -0.62
    BILITIES
    -0.62
    gered
    -0.61
    POSITIVE LOGITS
    achusetts
    1.30
    achus
    1.08
    acre
    1.06
    imil
    1.05
    aging
    1.05
    ages
    1.02
    imo
    0.96
    aged
    0.94
     murderer
    0.93
     graves
    0.92
    Activations Density 0.030%

    No Known Activations