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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9400
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    INDEX
    Explanations

    expressions or symbols

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific symbol or character representative of formatting or separation in text

    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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    No Comments

    Negative Logits
    ppard
    -0.79
    interstitial
    -0.76
    wagen
    -0.70
     granite
    -0.68
    ba
    -0.68
    eper
    -0.67
     foc
    -0.67
     nuts
    -0.67
     marble
    -0.64
     levers
    -0.63
    POSITIVE LOGITS
    ————
    1.15
    ————————————————
    0.96
    ————————
    0.93
    ——
    0.83
     Advertisement
    0.82
    ĸļ
    0.78
    actionDate
    0.76
    advertisement
    0.76
     Reporter
    0.76
    ADVERTISEMENT
    0.75
    Activations Density 0.049%

    No Known Activations