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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. 3378
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    Explanations

    numerical values within textual context

    oai_token-act-pair · gpt-3.5-turbo

    suffixes or fragments of words that suggest a relationship to pricing or economic context

    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
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    No Comments

    Negative Logits
     Jur
    -0.68
     Vit
    -0.68
     Hilbert
    -0.64
     Amen
    -0.63
     Kinnikuman
    -0.62
     Freedom
    -0.61
     Pis
    -0.61
     Juda
    -0.61
     victorious
    -0.61
    íķ
    -0.61
    POSITIVE LOGITS
    eatures
    1.28
    ound
    1.23
    ocket
    1.18
    uff
    1.17
    ream
    1.16
    oop
    1.16
    ames
    1.14
    ocks
    1.13
    ood
    1.13
    allery
    1.13
    Activations Density 0.223%

    No Known Activations