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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. 16739
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific punctuation marks and formatting symbols

    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
     Ludwig
    -0.88
    Todd
    -0.86
     Bor
    -0.83
     Kling
    -0.79
    Tor
    -0.79
     Todd
    -0.78
     Gan
    -0.78
     Tire
    -0.77
    396
    -0.76
     Å
    -0.76
    POSITIVE LOGITS
    ->
    0.89
    apesh
    0.83
     ->
    0.82
    fn
    0.79
     Sorceress
    0.78
    /"
    0.77
    igible
    0.76
    exc
    0.76
    ql
    0.75
     McGr
    0.75
    Activations Density 0.457%

    No Known Activations