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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. 6-RES-JB
    11. 7275
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    Explanations

    keywords related to a television series

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different series or shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zie
    -0.85
    orget
    -0.73
    attled
    -0.72
    vae
    -0.70
    imar
    -0.69
    prus
    -0.68
    lig
    -0.66
    ntil
    -0.65
    imentary
    -0.64
    istani
    -0.64
    POSITIVE LOGITS
     finale
    0.95
    manship
    0.85
     Reborn
    0.75
     regulars
    0.74
    enegger
    0.72
    hews
    0.69
    ĸļ
    0.67
    peak
    0.67
    RED
    0.66
    Publisher
    0.66
    Activations Density 0.027%

    No Known Activations