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    1. Home
    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 10108
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    Explanations

    references to logos

    oai_token-act-pair · gpt-3.5-turbo

    mentions of logos

    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
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.74
    ersion
    -0.72
    jury
    -0.69
    cible
    -0.69
    charges
    -0.67
    hower
    -0.67
    quiet
    -0.66
     Ago
    -0.66
    hurst
    -0.65
    kus
    -0.65
    POSITIVE LOGITS
     logo
    1.05
     logos
    1.02
     trademarks
    0.91
     Logo
    0.89
     slogan
    0.88
     redesign
    0.85
     font
    0.84
    plates
    0.83
    olor
    0.83
     recognition
    0.83
    Activations Density 0.061%

    No Known Activations