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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. 1-RES-JB
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    references related to ankle injuries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ankle injuries and related conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.75
    esters
    -0.71
    administ
    -0.70
    erick
    -0.68
    sav
    -0.67
    advertising
    -0.67
    driving
    -0.65
    ourke
    -0.63
    autical
    -0.63
    nant
    -0.62
    POSITIVE LOGITS
     ankle
    1.29
     ankles
    1.06
     bracelet
    1.04
    bone
    0.96
    weed
    0.90
     joints
    0.88
     strap
    0.88
     dors
    0.88
    bones
    0.86
     straps
    0.85
    Activations Density 0.008%

    No Known Activations