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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. 1-RES-JB
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    Explanations

    keywords related to legal and investigative processes, specifically "inquest" and "coroner"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal investigations and coroners

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworld
    -0.79
    ña
    -0.72
    anamo
    -0.71
    achu
    -0.71
    cca
    -0.71
    df
    -0.70
    atan
    -0.69
    afort
    -0.68
     Stars
    -0.68
    Torrent
    -0.67
    POSITIVE LOGITS
     inquest
    1.44
     coroner
    1.36
     coron
    0.93
    milo
    0.76
    ysis
    0.73
     jury
    0.72
     adolesc
    0.72
     autopsy
    0.69
     conclud
    0.69
    ufact
    0.69
    Activations Density 0.011%

    No Known Activations