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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. 9-RES-JB
    6. 14875
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    INDEX
    Explanations

    mentions of or references to different genres of entertainment

    oai_token-act-pair · gpt-3.5-turbo

    references to various genres, particularly in the context of media and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.81
    loo
    -0.81
    urion
    -0.81
    riel
    -0.78
    tics
    -0.76
    administ
    -0.74
    vic
    -0.73
    erald
    -0.73
    aukee
    -0.72
    iak
    -0.71
    POSITIVE LOGITS
     fiction
    0.91
     conventions
    0.85
    ¥µ
    0.81
     mash
    0.81
     tropes
    0.79
    allo
    0.79
     genres
    0.78
    ologies
    0.77
     genre
    0.77
    icity
    0.77
    Activations Density 0.041%

    No Known Activations