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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 22981
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    INDEX
    Explanations

    mentions of genres or types of media

    oai_token-act-pair · gpt-3.5-turbo

    references to specific film genres

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.84
    urion
    -0.83
    riel
    -0.72
    administ
    -0.71
    loo
    -0.70
    tan
    -0.69
    amen
    -0.67
    erald
    -0.67
     Chiefs
    -0.65
    ayson
    -0.64
    POSITIVE LOGITS
     fiction
    0.89
    ologies
    0.86
    ¥µ
    0.82
     conventions
    0.79
    allo
    0.79
     tropes
    0.78
     genres
    0.76
    ology
    0.76
    genre
    0.75
    icity
    0.73
    Activations Density 0.022%

    No Known Activations