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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. 23673
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    Explanations

    non-English characters, specifically focusing on the letter "ê"

    oai_token-act-pair · gpt-3.5-turbo

    the character "ê" and other unique character patterns or specific names within 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
     Franch
    -0.83
    uctor
    -0.80
    emonium
    -0.79
    ocument
    -0.79
    ortium
    -0.73
    Reviewer
    -0.73
    uations
    -0.73
     guiActiveUn
    -0.72
    agascar
    -0.72
     takedown
    -0.68
    POSITIVE LOGITS
    ¹
    1.16
    ¼
    1.15
    ¶
    1.15
    ²
    1.15
    °
    1.09
    ¾
    1.08
    ¿
    0.98
    ¸
    0.94
    ³
    0.92
    µ
    0.92
    Activations Density 0.003%

    No Known Activations