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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. 9-RES-JB
    6. 2078
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    Explanations

    scientific terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 'scientific' and its variations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    coni
    -0.70
    zik
    -0.68
    drops
    -0.66
    atra
    -0.64
    torn
    -0.62
    trap
    -0.62
    aders
    -0.62
    matched
    -0.61
    inho
    -0.61
    steps
    -0.61
    POSITIVE LOGITS
     literacy
    1.04
     fiction
    1.04
     curiosity
    0.91
     research
    0.89
     Fiction
    0.84
    ĨĴ
    0.84
     misconduct
    0.82
     illiter
    0.82
     literature
    0.81
     underpin
    0.81
    Activations Density 0.036%

    No Known Activations