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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. 21610
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    Explanations

    words related to knee injuries or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to knee injuries and associated medical conditions

    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
    actionDate
    -0.80
    ource
    -0.79
    xual
    -0.69
    due
    -0.69
    ionage
    -0.68
    ADRA
    -0.65
    icles
    -0.65
    omething
    -0.65
    rational
    -0.64
    inction
    -0.64
    POSITIVE LOGITS
     jerk
    1.05
     joints
    1.02
     brace
    0.96
     lig
    0.92
     injury
    0.91
     knee
    0.89
     strap
    0.89
    jac
    0.88
     pads
    0.87
    strap
    0.87
    Activations Density 0.030%

    No Known Activations