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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. 11422
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    INDEX
    Explanations

    puzzling questions or uncertainties within a context

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions throughout the 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
    Not in Any Lists

    No Comments

    Negative Logits
    outine
    -0.74
    ulla
    -0.71
    bledon
    -0.67
    aper
    -0.66
    apers
    -0.63
    legate
    -0.63
    ened
    -0.63
     Nadu
    -0.61
    eper
    -0.61
     shortest
    -0.60
    POSITIVE LOGITS
     Nope
    1.20
     Yeah
    1.03
     Yep
    1.03
     Why
    1.00
     Seems
    0.99
    ¶
    0.96
     Yes
    0.95
     Surely
    0.95
     Maybe
    0.95
    ����
    0.89
    Activations Density 0.072%

    No Known Activations