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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. 3-RES-JB
    11. 23710
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    Explanations

    proper nouns related to various entities, potentially including people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and places in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ;;
    -0.74
    sf
    -0.71
    âĢķ
    -0.68
     killer
    -0.66
    Ka
    -0.66
    advertisement
    -0.64
    _>
    -0.63
    igator
    -0.60
    Money
    -0.60
    ++)
    -0.59
    POSITIVE LOGITS
    yss
    0.95
    ments
    0.91
    TAIN
    0.89
    bell
    0.88
    phrine
    0.87
    byss
    0.87
    xus
    0.84
    hyde
    0.83
    utic
    0.82
    gas
    0.82
    Activations Density 0.032%

    No Known Activations