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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. 11-RES-JB
    6. 8503
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    INDEX
    Explanations

    references to stock markets and related financial terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of stocks and related financial terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BLE
    -0.79
     Gutenberg
    -0.76
     Dough
    -0.73
    icz
    -0.68
    ROR
    -0.66
    VERTIS
    -0.65
    âĺ
    -0.65
    ATIONAL
    -0.65
     Homeless
    -0.63
    ãĤī
    -0.61
    POSITIVE LOGITS
    holders
    1.31
    holm
    1.22
    holder
    1.21
    yards
    1.12
    market
    1.05
    ings
    1.05
    bro
    0.94
    picking
    0.93
    room
    0.92
    still
    0.91
    Activations Density 0.038%

    No Known Activations