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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. 18080
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     manif
    -0.77
     horizont
    -0.67
    wagen
    -0.66
     inaccur
    -0.66
     secretaries
    -0.65
    agall
    -0.65
     virginity
    -0.63
     pellets
    -0.63
    milo
    -0.63
     lifes
    -0.62
    POSITIVE LOGITS
    taboola
    0.96
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.95
    END
    0.93
    Warning
    0.92
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.90
     SHARES
    0.88
    Skip
    0.86
    ================================
    0.86
    à¼
    0.85
    HTTP
    0.84
    Activations Density 0.068%

    No Known Activations