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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. 10-RES-JB
    11. 8025
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    Explanations

    mentions of accidental events or actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "accidentally" and related terms indicating unintended actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riors
    -0.84
    ciating
    -0.83
    HCR
    -0.73
    League
    -0.72
    rique
    -0.71
    services
    -0.71
    Services
    -0.70
    etics
    -0.70
    ackets
    -0.69
    ramids
    -0.68
    POSITIVE LOGITS
     accidentally
    0.98
     inadvertently
    0.93
     inadvert
    0.91
     spilled
    0.90
     unintentionally
    0.88
     accidental
    0.85
     manslaughter
    0.85
     overdoses
    0.83
     spills
    0.80
     unintended
    0.80
    Activations Density 0.077%

    No Known Activations