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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
    11. 11614
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    Explanations

    mentions or references to individuals with disabilities

    oai_token-act-pair · gpt-3.5-turbo

    references to disability

    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
    uin
    -0.81
    atorial
    -0.78
    cv
    -0.72
    furt
    -0.71
    ioxide
    -0.71
    eting
    -0.70
    anza
    -0.69
    andum
    -0.69
    orial
    -0.67
    aternity
    -0.67
    POSITIVE LOGITS
     disabled
    1.30
     Disabled
    1.08
     inval
    0.94
    disabled
    0.93
     disability
    0.91
     aback
    0.85
     epile
    0.84
     disabilities
    0.82
     Nadu
    0.81
     horm
    0.80
    Activations Density 0.007%

    No Known Activations