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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. 4-RES-JB
    11. 7024
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    Explanations

    details or mentions related to criminal shooters

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in shooting incidents

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

    No Comments

    Negative Logits
    arb
    -0.85
    urn
    -0.69
    Transaction
    -0.66
    cles
    -0.66
    ŃĶ
    -0.63
     Agricultural
    -0.63
    Capital
    -0.63
    times
    -0.61
    graded
    -0.61
     Mining
    -0.61
    POSITIVE LOGITS
     shooter
    1.12
     shooters
    1.05
     Shooter
    1.00
     Paddock
    0.77
     gunman
    0.75
    ÃĽ
    0.75
     snipers
    0.73
    ideo
    0.73
    linger
    0.73
     Blaz
    0.72
    Activations Density 0.019%

    No Known Activations