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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. 24236
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    INDEX
    Explanations

    numbers that seem to represent statistics or data points

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistics and scores

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    odor
    -0.65
    ayers
    -0.59
    leave
    -0.57
    activation
    -0.56
    wing
    -0.55
    âĹ¼
    -0.54
    RNA
    -0.53
    iannopoulos
    -0.52
    oven
    -0.51
    "]=>
    -0.51
    POSITIVE LOGITS
    +.
    1.00
     apiece
    0.93
    .
    0.82
    +,
    0.80
     thereafter
    0.78
    %.
    0.77
    -.
    0.76
     onwards
    0.73
    ;
    0.70
    %,
    0.69
    Activations Density 0.213%

    No Known Activations