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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. 10-RES-JB
    11. 21767
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    Explanations

    phrases related to medical conditions or treatments

    oai_token-act-pair · gpt-3.5-turbo

    individual letters or sequences of letters that might represent scientific or technical terminology

    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
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    Negative Logits
     paperback
    -0.63
    hammad
    -0.63
     correctness
    -0.61
    APTER
    -0.60
     elig
    -0.60
     rough
    -0.59
     debit
    -0.57
     Boulder
    -0.56
    éĹĺ
    -0.56
     Tonight
    -0.53
    POSITIVE LOGITS
    ilus
    0.89
    aceae
    0.77
    igen
    0.77
    ium
    0.75
    obic
    0.71
    odus
    0.70
    itage
    0.70
    urnal
    0.69
    ãĤ¼
    0.69
    igans
    0.69
    Activations Density 0.050%

    No Known Activations