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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. 9-RES-JB
    11. 23908
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    Explanations

    proper nouns related to locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ern" within words

    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
     bluff
    -0.67
     Gamble
    -0.67
     bout
    -0.62
     FTA
    -0.61
    uyomi
    -0.61
     Bowen
    -0.59
     subsid
    -0.58
     inhibitors
    -0.58
    tto
    -0.57
     slic
    -0.56
    POSITIVE LOGITS
    acle
    1.24
    auts
    1.15
    acles
    1.08
    atural
    1.01
    esis
    0.96
    icter
    0.96
    acular
    0.96
    ews
    0.94
    icht
    0.92
    heimer
    0.90
    Activations Density 0.033%

    No Known Activations