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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. 530
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    INDEX
    Explanations

    mentions of the word "bot"

    oai_token-act-pair · gpt-3.5-turbo

    references to bots and bot-related technology

    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
    Not in Any Lists

    No Comments

    Negative Logits
    baugh
    -0.66
    dress
    -0.65
     Trib
    -0.63
    mble
    -0.63
     McCartney
    -0.61
    restricted
    -0.61
    mund
    -0.60
    -+
    -0.59
    eways
    -0.57
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.56
    POSITIVE LOGITS
    anical
    1.57
    anic
    1.12
    cham
    1.05
    any
    1.04
    ania
    1.00
    nets
    0.99
    wana
    0.99
    anie
    0.94
    herer
    0.94
    zeb
    0.94
    Activations Density 0.042%

    No Known Activations