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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. 5-RES-JB
    6. 16373
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    INDEX
    Explanations

    proper nouns, specifically names of places or people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aciously
    -0.86
    bsp
    -0.76
     Gutenberg
    -0.75
    uous
    -0.71
    EMP
    -0.69
    information
    -0.68
     debtor
    -0.68
     doct
    -0.67
    unction
    -0.66
    ifier
    -0.65
    POSITIVE LOGITS
     Carroll
    1.09
    sburg
    0.90
    mont
    0.88
    ton
    0.86
     Gardens
    0.84
    lean
    0.79
     Shelby
    0.79
    oqu
    0.78
    dale
    0.75
    anut
    0.75
    Activations Density 0.010%

    No Known Activations