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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. 20478
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    oai_token-act-pair · gpt-3.5-turbo

    patterns of special characters and non-standard symbols

    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
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    Negative Logits
    nyder
    -0.84
    ftime
    -0.83
    linger
    -0.82
    icka
    -0.80
    oway
    -0.78
    illary
    -0.70
    iegel
    -0.69
    anol
    -0.68
    aleigh
    -0.67
    apist
    -0.67
    POSITIVE LOGITS
    ¥
    1.37
    İ
    1.35
    ı
    1.34
    äº
    1.32
    çĶ
    1.31
    ³
    1.31
    é
    1.30
    æ
    1.30
    ¿
    1.29
    Ĩ
    1.29
    Activations Density 0.019%

    No Known Activations