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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
    11. 16833
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    Explanations

    words related to challenging, difficult, or tumultuous situations

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulties or challenging experiences

    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
    minist
    -0.77
    alian
    -0.76
    Fram
    -0.75
    icide
    -0.74
    icides
    -0.72
    uality
    -0.72
    iture
    -0.72
    merce
    -0.71
    igation
    -0.69
    iltration
    -0.68
    POSITIVE LOGITS
     rough
    1.18
     edges
    0.91
     bumps
    0.81
     Rough
    0.76
    ÃįÃį
    0.71
     parting
    0.71
     strokes
    0.70
    ãģį
    0.70
     earthqu
    0.70
     outlines
    0.70
    Activations Density 0.006%

    No Known Activations