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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. 4716
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    INDEX
    Explanations

    decimal numbers relating to statistics or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to performance metrics in sports

    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
     Shant
    -0.85
    enegger
    -0.84
    ships
    -0.78
    netflix
    -0.75
    ellen
    -0.69
     Lauder
    -0.68
    ITAL
    -0.67
    ilial
    -0.66
    details
    -0.66
    iannopoulos
    -0.64
    POSITIVE LOGITS
     GPA
    0.90
     cumulative
    0.86
     avg
    0.85
     average
    0.83
     pace
    0.83
     percent
    0.82
     Adjusted
    0.76
     ERA
    0.73
     assists
    0.73
    /+
    0.72
    Activations Density 0.030%

    No Known Activations