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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. 1-RES-JB
    6. 19254
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    INDEX
    Explanations

    references to television series

    oai_token-act-pair · gpt-3.5-turbo

    references to television series, particularly animated ones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ithing
    -0.75
    lite
    -0.74
    nai
    -0.74
    ryn
    -0.72
    arching
    -0.70
    attled
    -0.69
    ovo
    -0.69
    imentary
    -0.67
    yip
    -0.67
     ut
    -0.67
    POSITIVE LOGITS
    ãĥĺ
    0.89
    series
    0.85
     finale
    0.84
    ĸļ
    0.84
    isodes
    0.82
     Emin
    0.81
    enegger
    0.80
     series
    0.78
     Rollins
    0.78
     è£ıè¦ļéĨĴ
    0.77
    Activations Density 0.022%

    No Known Activations