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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. 6-RES-JB
    11. 21810
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    Explanations

    mentions or descriptions of specific individuals, particularly focusing on victims or perpetrators in news or crime-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals, specifically men and women, in distressing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeda
    -0.78
    raltar
    -0.68
     Bound
    -0.64
    incinn
    -0.64
    arning
    -0.61
    ãĤ
    -0.61
    ipedia
    -0.60
    Ŀ
    -0.60
     Publication
    -0.60
    çļ
    -0.60
    POSITIVE LOGITS
     testified
    0.79
    's
    0.79
    hunt
    0.78
     whom
    0.74
    liest
    0.73
    nels
    0.73
     pleaded
    0.71
    stown
    0.69
     herself
    0.68
     himself
    0.68
    Activations Density 0.162%

    No Known Activations