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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. 7-RES-JB
    6. 3448
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    Explanations

    words related to titles of media works, such as movies, TV shows, and books

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically closing parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     artif
    -0.78
    onite
    -0.75
     answ
    -0.73
    omorphic
    -0.73
    omore
    -0.72
    tering
    -0.71
    bably
    -0.71
    bage
    -0.71
    bing
    -0.70
     footing
    -0.70
    POSITIVE LOGITS
     âĵĺ
    0.77
     Committees
    0.76
     =>
    0.76
     Races
    0.75
     Frames
    0.73
    ATURE
    0.73
     Modes
    0.71
     Ltd
    0.70
     Shows
    0.70
     :
    0.70
    Activations Density 0.122%

    No Known Activations