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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. 10-RES-JB
    6. 21859
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    INDEX
    Explanations

    financial terms like acronyms and job titles

    oai_token-act-pair · gpt-3.5-turbo

    patterns of numerical or financial data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lets
    -0.75
    metadata
    -0.70
     fortunate
    -0.68
    jury
    -0.61
    rounded
    -0.60
    where
    -0.59
    falls
    -0.59
    Thumbnail
    -0.58
    angered
    -0.58
    perse
    -0.58
    POSITIVE LOGITS
    E
    1.08
    A
    1.05
    O
    1.02
    R
    0.99
    P
    0.97
    T
    0.96
    S
    0.96
    U
    0.94
    I
    0.94
    M
    0.93
    Activations Density 0.052%

    No Known Activations