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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. 4-RES-JB
    11. 9245
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    Explanations

    references to event attendees

    oai_token-act-pair · gpt-3.5-turbo

    references to people participating in events or gatherings

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

    Negative Logits
     Rover
    -0.65
     Bust
    -0.63
     Rite
    -0.63
    enegger
    -0.60
     territ
    -0.59
     Beaver
    -0.57
     reconciliation
    -0.56
     satire
    -0.56
    redo
    -0.55
     Reset
    -0.55
    POSITIVE LOGITS
    hip
    0.97
     attendees
    0.92
    hips
    0.83
     attend
    0.81
    cript
    0.80
    aurus
    0.78
    paces
    0.77
    goers
    0.74
    ubs
    0.73
    RESULTS
    0.73
    Activations Density 0.020%

    No Known Activations