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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. 2-RES-JB
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    Explanations

    terms related to knee injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to knee-related injuries or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ource
    -0.82
    ourke
    -0.74
     Aires
    -0.72
    hips
    -0.71
    actionDate
    -0.69
    rss
    -0.67
    effective
    -0.66
    ADRA
    -0.65
    Published
    -0.64
    rational
    -0.64
    POSITIVE LOGITS
     knee
    1.12
     joints
    1.06
     jerk
    1.04
     ankle
    0.90
     shoulder
    0.89
     kne
    0.86
     knees
    0.86
     elbow
    0.84
     braces
    0.82
     injury
    0.82
    Activations Density 0.010%

    No Known Activations