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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. 776
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    Explanations

    words related to action, conflict, and physical events

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture and entertainment events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    operation
    -0.82
    endment
    -0.78
    mode
    -0.75
    emen
    -0.72
    ppo
    -0.72
    UTC
    -0.72
    NOT
    -0.71
    type
    -0.69
    original
    -0.69
    emphasis
    -0.69
    POSITIVE LOGITS
     sleek
    0.83
     soaring
    0.80
     plung
    0.76
     skysc
    0.75
     langu
    0.74
     scor
    0.74
     slashed
    0.73
     ponder
    0.73
     roaring
    0.73
     countless
    0.73
    Activations Density 0.946%

    No Known Activations