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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    adjectives and nouns related to seriousness and importance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "seriously" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.95
    atu
    -0.74
     Kinnikuman
    -0.73
    ramid
    -0.69
    AUT
    -0.65
    oS
    -0.64
    eer
    -0.64
     surrog
    -0.62
     Window
    -0.61
    iful
    -0.61
    POSITIVE LOGITS
     seriously
    1.16
    serious
    0.96
     Seriously
    0.92
     serious
    0.78
    geoning
    0.75
     Serious
    0.73
     bothering
    0.71
    sted
    0.71
     reconsider
    0.70
     enough
    0.70
    Activations Density 0.006%

    No Known Activations