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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. 7-RES-JB
    11. 11531
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    Explanations

    Cyrillic characters and identifiers in text

    oai_token-act-pair · gpt-3.5-turbo

    characters from a non-Latin alphabet

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    undai
    -0.93
    merce
    -0.81
    ndra
    -0.78
    ichita
    -0.77
    ebus
    -0.77
    geries
    -0.76
    ggle
    -0.72
    bee
    -0.67
    ufact
    -0.67
    higher
    -0.67
    POSITIVE LOGITS
    и
    1.66
    оÐ
    1.64
    а
    1.55
    е
    1.50
    о
    1.49
    к
    1.39
    Ñĥ
    1.37
    ÑĤ
    1.37
    ÑĮ
    1.37
    н
    1.32
    Activations Density 0.017%

    No Known Activations