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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 3061
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    INDEX
    Explanations

    unintelligible phrases

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to age-related issues or descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     RandomRedditor
    -1.43
    Ě
    -1.42
    ÷
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    ă
    -1.42
    ü
    -1.42
    č
    -1.42
    embedreportprint
    -1.42
    Ĕ
    -1.42
    ø
    -1.42
    ù
    -1.42
    POSITIVE LOGITS
     definitely
    0.34
     wisely
    0.33
     weekday
    0.33
     regularly
    0.33
     please
    0.33
     automatically
    0.33
     unless
    0.33
     anywhere
    0.33
     typically
    0.33
     2018
    0.32
    Activations Density 4.570%

    No Known Activations