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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. 4-RES-JB
    11. 4472
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    Explanations

    words related to knee injuries and body parts associated with knee injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to the knee and related injuries

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

    No Comments

    Negative Logits
    actionDate
    -0.86
     Aires
    -0.82
    ADRA
    -0.74
    ource
    -0.73
    ourke
    -0.71
    iveness
    -0.71
    afety
    -0.68
     Flavoring
    -0.68
    sav
    -0.67
     Vide
    -0.67
    POSITIVE LOGITS
     knee
    1.16
     joints
    1.04
     jerk
    1.00
     ankle
    0.96
     knees
    0.96
     shoulder
    0.94
     injury
    0.91
    bone
    0.88
     heel
    0.85
     braces
    0.84
    Activations Density 0.016%

    No Known Activations