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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. 5557
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    INDEX
    Explanations

    instances of the phrase "each and every."

    oai_token-act-pair · gpt-3.5-turbo

    the conjunctions "and" and "or" used in various contexts

    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
     Corpus
    -0.63
     throats
    -0.56
    ADVERTISEMENT
    -0.56
    Beg
    -0.55
    Charges
    -0.53
     Tour
    -0.53
     Route
    -0.52
    Installation
    -0.51
     anesthesia
    -0.51
     Crunch
    -0.51
    POSITIVE LOGITS
    rogen
    1.17
    rogens
    1.02
    ro
    0.97
     sund
    0.95
    rew
    0.85
    reme
    0.83
    ¬¼
    0.78
     everyone
    0.75
    romeda
    0.75
    everything
    0.73
    Activations Density 0.074%

    No Known Activations