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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. 7311
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    variations of the letter "L" represented by the character Ļ

    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
     Rhodes
    -0.68
     Negro
    -0.66
     STATES
    -0.61
     Allied
    -0.60
     Royale
    -0.60
     JPEG
    -0.60
     Orchestra
    -0.59
     Kansas
    -0.57
     Newark
    -0.56
     Monroe
    -0.56
    POSITIVE LOGITS
    ï¸ı
    1.47
    ï¸
    1.00
    tracks
    1.00
    esc
    0.94
    s
    0.90
    ski
    0.88
    tra
    0.84
    tracking
    0.83
    track
    0.83
    eal
    0.83
    Activations Density 0.224%

    No Known Activations