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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. 7-RES-JB
    11. 13454
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    Explanations

    healthcare-related words and entities, particularly focusing on medical professionals and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations and entities involved in regulatory or legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onday
    -0.64
    WARD
    -0.60
     Shap
    -0.57
    ELD
    -0.57
    terday
    -0.55
    neck
    -0.54
    onder
    -0.53
    WOR
    -0.52
     Tray
    -0.52
    chwitz
    -0.52
    POSITIVE LOGITS
     to
    0.69
     divor
    0.65
     adopt
    0.62
    to
    0.62
     detach
    0.61
     reinvest
    0.60
     diseng
    0.60
    ito
    0.59
     suppose
    0.58
     adhere
    0.58
    Activations Density 0.550%

    No Known Activations