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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. 11-RES-JB
    11. 12341
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    Explanations

    phrases related to physical injuries, specifically to body parts like ankle, knee, foot, and hamstring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to injuries in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haps
    -0.77
    DragonMagazine
    -0.73
    rooms
    -0.72
    oho
    -0.70
    iless
    -0.63
    enth
    -0.63
     âĺ
    -0.62
     queues
    -0.62
    psc
    -0.62
    Indust
    -0.62
    POSITIVE LOGITS
     hamstring
    1.44
     concussion
    1.40
     groin
    1.38
     injury
    1.31
     elbow
    1.25
     knee
    1.23
     ankle
    1.21
     Achilles
    1.21
     tendon
    1.18
     shoulder
    1.18
    Activations Density 0.131%

    No Known Activations