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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. 8-RES-JB
    11. 13048
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    INDEX
    Explanations

    the word "Co" with a high activation value of 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the text "Co" followed by a number

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     GOODMAN
    -0.81
    lihood
    -0.78
    ICAN
    -0.66
     IMAGES
    -0.65
    TING
    -0.62
    IONS
    -0.62
     Yanuk
    -0.61
     Egyptians
    -0.60
     Trou
    -0.59
     Halls
    -0.56
    POSITIVE LOGITS
    aching
    1.19
    aches
    1.15
    ffe
    1.12
    vers
    1.10
    ppers
    1.08
    verage
    1.08
    asters
    1.07
    ffee
    1.07
    herent
    1.07
    vert
    1.05
    Activations Density 0.030%

    No Known Activations