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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. 10-RES-JB
    11. 6171
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    Explanations

    mentions of the word "Jar" at varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "jar" in various contexts, particularly related to the Kilner jar

    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
    EPA
    -0.67
    ¡
    -0.66
     Mutual
    -0.65
     payday
    -0.65
     Ascend
    -0.64
     Eleven
    -0.63
    Premium
    -0.62
     dividend
    -0.61
     Amtrak
    -0.60
     rapp
    -0.60
    POSITIVE LOGITS
    rod
    1.01
    oslav
    0.99
    van
    0.97
    Jar
    0.95
    abul
    0.94
     Jar
    0.92
    olla
    0.89
    ney
    0.85
    rosse
    0.85
    vana
    0.83
    Activations Density 0.034%

    No Known Activations