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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. 11-RES-JB
    11. 393
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    Explanations

    abbreviated text, potentially for titles or headings

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horrend
    -0.78
     thous
    -0.70
     gobl
    -0.69
     psychiat
    -0.69
     tremend
    -0.68
     desper
    -0.60
    ',"
    -0.60
    uilt
    -0.57
     appre
    -0.57
    yip
    -0.57
    POSITIVE LOGITS
    ↵
    1.27
    SPONSORED
    1.04
    ↵↵
    0.93
     Ultimately
    0.88
    <|endoftext|>
    0.84
     Notably
    0.83
     Both
    0.81
     Critics
    0.79
     Those
    0.76
     Nonetheless
    0.75
    Activations Density 0.495%

    No Known Activations