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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. 8-RES-JB
    11. 16783
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    Explanations

    adjectives that describe intense or unsettling situations

    oai_token-act-pair · gpt-3.5-turbo

    words associated with intense emotions or dramatic situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rows
    -0.71
    hers
    -0.70
    essor
    -0.69
    mop
    -0.69
    respect
    -0.68
    rian
    -0.68
    glas
    -0.68
    putable
    -0.67
    govern
    -0.67
    ernels
    -0.66
    POSITIVE LOGITS
    ly
    1.21
     tale
    0.99
    LY
    0.97
     spectacle
    0.95
     irony
    0.89
     circumstance
    0.88
     revelations
    0.88
     tales
    0.88
     ordeal
    0.87
     coincidence
    0.83
    Activations Density 0.242%

    No Known Activations