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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. 18106
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    Explanations

    characters not commonly found in English text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific symbols or special characters in the text

    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
     tremend
    -0.90
    psons
    -0.88
    odon
    -0.81
    phrine
    -0.79
    opsy
    -0.79
    izzard
    -0.78
     fielded
    -0.78
     circulation
    -0.78
    ¥ŀ
    -0.78
    odium
    -0.78
    POSITIVE LOGITS
    ª
    1.16
    Ùĩ
    0.97
    Ù
    0.90
    ¬
    0.89
    âĶĢâĶĢ
    0.88
    DEN
    0.87
    Ĺ
    0.86
    ¨
    0.85
    ÙĪ
    0.85
    Ùİ
    0.84
    Activations Density 0.011%

    No Known Activations