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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. 6-RES-JB
    11. 10871
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Dragonbound
    -0.74
     Sands
    -0.71
    ified
    -0.68
    enegger
    -0.67
     Mandela
    -0.67
    WARD
    -0.67
    izable
    -0.67
     Jelly
    -0.67
    mort
    -0.66
     Carib
    -0.64
    POSITIVE LOGITS
    Ĵ
    1.45
    ĥ
    1.43
    İ
    1.39
    ı
    1.39
    ĸ
    1.38
    Ľ
    1.38
    Ķ
    1.37
    ħ
    1.36
    §
    1.35
    Ģ
    1.35
    Activations Density 0.010%

    No Known Activations