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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. 14477
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    Explanations

    phrases related to injuries or body parts, particularly the elbow

    oai_token-act-pair · gpt-3.5-turbo

    terms related to arm and joint 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
    nom
    -0.84
    actionDate
    -0.75
    gov
    -0.74
    Trend
    -0.73
     Living
    -0.71
    reported
    -0.69
     Geographic
    -0.68
    administ
    -0.68
    Private
    -0.68
     Polk
    -0.67
    POSITIVE LOGITS
     elbow
    1.32
     elbows
    1.15
     shoulder
    1.09
     grease
    1.04
     joints
    1.02
     cuff
    0.97
     forearm
    0.95
     wrestle
    0.91
     sleeves
    0.86
     knees
    0.86
    Activations Density 0.005%

    No Known Activations