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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. 11-RES-JB
    11. 1992
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    Explanations

    adjectives related to challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    references to challenging situations or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ATURE
    -0.91
    atory
    -0.71
    Fac
    -0.71
    urated
    -0.67
    Reloaded
    -0.66
     Powered
    -0.65
    hyde
    -0.65
    dfx
    -0.62
    alist
    -0.62
    uated
    -0.62
    POSITIVE LOGITS
     task
    0.97
     sled
    0.96
     terrain
    0.92
     sell
    0.91
     assignment
    0.88
     pill
    0.87
     negotiator
    0.86
     slog
    0.85
     decisions
    0.84
     choices
    0.82
    Activations Density 0.073%

    No Known Activations