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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. 7-RES-JB
    11. 6477
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    Explanations

    numerical values related to units of measure such as weights, lengths, and currencies

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to power and weight measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scripts
    -0.69
    ctor
    -0.66
    gal
    -0.64
    Commerce
    -0.64
    products
    -0.59
    values
    -0.59
    Keys
    -0.59
    Synopsis
    -0.58
    guided
    -0.58
    ĨĴ
    -0.57
    POSITIVE LOGITS
     increments
    1.02
     apiece
    1.01
    alion
    0.97
    +.
    0.83
    /$
    0.80
     altogether
    0.77
    +,
    0.73
    fen
    0.69
     hers
    0.68
     outright
    0.66
    Activations Density 0.316%

    No Known Activations