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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
    11. 13894
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    Explanations

    phrases related to physical injuries, specifically focusing on hamstring and groin injuries

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to sports injuries

    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
     Vide
    -0.64
    atography
    -0.62
    eton
    -0.61
    cription
    -0.60
    enta
    -0.60
    ahead
    -0.59
     Slate
    -0.59
    onymous
    -0.59
    ggies
    -0.58
    UTC
    -0.58
    POSITIVE LOGITS
     hamstring
    1.04
     tendon
    0.94
     shoulder
    0.84
     groin
    0.83
    igue
    0.82
     muscles
    0.81
    ãĤ¡
    0.80
    weed
    0.79
    poke
    0.78
    ilitation
    0.78
    Activations Density 0.008%

    No Known Activations