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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. 2-RES-JB
    11. 14675
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    Explanations

    codes, likely due to a different language or formatting issue, with a particular activation for the code related to the letter 'æ' and 'é'

    oai_token-act-pair · gpt-3.5-turbo

    specific special characters or unique glyphs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.91
    enegger
    -0.81
     sclerosis
    -0.80
    espie
    -0.79
    rawdownloadcloneembedreportprint
    -0.76
     Forth
    -0.70
    ierrez
    -0.69
    eele
    -0.69
     Syndicate
    -0.67
     Appalach
    -0.67
    POSITIVE LOGITS
    ¥µ
    1.32
    Ľ
    1.31
    ļ
    1.29
    ĻĤ
    1.29
    Ļ
    1.27
    ²
    1.26
    ´
    1.26
    ŀ
    1.26
    ĭ
    1.25
    ¼
    1.25
    Activations Density 0.004%

    No Known Activations