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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. 11-RES-JB
    6. 3269
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -1.10
     tremend
    -1.10
     occas
    -0.92
    aditional
    -0.88
     metic
    -0.88
     exha
    -0.85
     citiz
    -0.85
     undermin
    -0.84
     hemor
    -0.84
     oun
    -0.84
    POSITIVE LOGITS
    ↵
    0.98
    ³³³
    0.83
    \":
    0.82
    Merit
    0.70
    Õ
    0.68
    ³³³³³³³³
    0.68
    ³³³³
    0.67
    tle
    0.66
    اÙĦ
    0.66
    ETF
    0.65
    Activations Density 0.404%

    No Known Activations