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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. 9144
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Flavoring
    -0.75
    riks
    -0.72
    rology
    -0.71
    RAW
    -0.70
    bench
    -0.69
    external
    -0.68
    ngth
    -0.67
    imov
    -0.66
    thodox
    -0.66
    folk
    -0.65
    POSITIVE LOGITS
     tu
    0.97
     los
    0.93
     este
    0.90
     las
    0.90
     la
    0.89
     que
    0.86
     si
    0.84
     vou
    0.83
     pas
    0.83
     les
    0.82
    Activations Density 0.103%

    No Known Activations