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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. 9-RES-JB
    11. 14257
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    Explanations

    words related to various professions or societal roles

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups of individuals impacted by societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.73
    ilogy
    -0.68
    tainment
    -0.65
     charm
    -0.63
    rection
    -0.63
    iece
    -0.60
    lace
    -0.59
    HCR
    -0.59
    OLOG
    -0.57
    ottage
    -0.57
    POSITIVE LOGITS
     everywhere
    0.94
     accessing
    0.91
     wishing
    0.91
    '
    0.90
     across
    0.89
     who
    0.89
     seeking
    0.89
     worldwide
    0.86
     undergoing
    0.86
     alike
    0.85
    Activations Density 0.343%

    No Known Activations