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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 17606
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    Explanations

    words related to challenging or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and adverbs that describe varying degrees of complexity, difficulty, or moral implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.63
     oun
    -0.61
    aeper
    -0.58
     Citiz
    -0.55
    bryce
    -0.54
     earthqu
    -0.54
    ainted
    -0.54
     trave
    -0.52
    ij士
    -0.50
    ãĥĺãĥ©
    -0.49
    POSITIVE LOGITS
    -)
    0.91
    )
    0.85
    ,
    0.83
    ,.
    0.82
    -.
    0.78
     --
    0.74
    ,,
    0.74
    ,-
    0.73
    --
    0.73
    )-
    0.72
    Activations Density 0.304%

    No Known Activations