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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. 8-RES-JB
    11. 8523
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    Explanations

    words related to knee injuries and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to knee injuries and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ource
    -0.78
     Cosponsors
    -0.75
    actionDate
    -0.73
    arians
    -0.72
     Aires
    -0.71
     Debor
    -0.70
    xual
    -0.70
    inction
    -0.68
    ourke
    -0.68
    ADRA
    -0.66
    POSITIVE LOGITS
     jerk
    1.00
     joints
    0.95
     knee
    0.90
    bone
    0.89
    jac
    0.89
     ankle
    0.88
     injury
    0.88
     heel
    0.85
     lig
    0.85
     braces
    0.84
    Activations Density 0.026%

    No Known Activations