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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. 0-RES-JB
    6. 1750
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    INDEX
    Explanations

    names

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Brianna" and nuclear-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     xml
    -0.97
     ultras
    -0.74
    csv
    -0.72
    tml
    -0.71
     XML
    -0.70
     calc
    -0.68
    ipedia
    -0.68
    Pg
    -0.67
    ql
    -0.66
     Catalog
    -0.66
    POSITIVE LOGITS
     Bri
    3.60
     bri
    1.74
     Gri
    1.19
    anqu
    1.18
     bribery
    1.16
    nuclear
    1.11
     Shank
    1.09
     Fletcher
    1.07
     Patri
    1.05
     Zoe
    1.05
    Activations Density 0.044%

    No Known Activations