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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. 7-RES-JB
    11. 17902
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    Explanations

    words related to groups or categories of people or items

    oai_token-act-pair · gpt-3.5-turbo

    words related to group affiliations or collective identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Tropical
    -0.71
     Nun
    -0.66
     Crimes
    -0.65
     Mann
    -0.64
    SourceFile
    -0.64
     Beaver
    -0.64
    Shock
    -0.62
     Shack
    -0.61
     Butt
    -0.60
     Press
    -0.60
    POSITIVE LOGITS
    hip
    1.56
    hips
    1.38
    pace
    1.06
    ourcing
    0.93
    ourced
    0.92
    ']
    0.92
    '
    0.91
    ubs
    0.87
    pread
    0.87
    paces
    0.86
    Activations Density 0.450%

    No Known Activations