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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. 10-RES-JB
    6. 9088
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    INDEX
    Explanations

    numbers with hyphens indicating a range

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to age, time periods, and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Slime
    -0.88
     Troll
    -0.81
    Pal
    -0.77
    pressed
    -0.73
    ãĥķãĤ©
    -0.72
    dial
    -0.71
    nets
    -0.70
    encrypted
    -0.69
    Reddit
    -0.68
     TEXT
    -0.67
    POSITIVE LOGITS
     year
    1.53
     years
    1.37
     YEAR
    1.36
    Year
    1.36
     Year
    1.34
    year
    1.29
     Years
    1.18
    years
    1.15
     decade
    1.12
     yr
    1.10
    Activations Density 0.117%

    No Known Activations