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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. 4-RES-JB
    11. 20589
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    INDEX
    Explanations

    numbers that are divisible by 4

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and specific percentages

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

    No Comments

    Negative Logits
    phrine
    -0.71
    raltar
    -0.65
     Parade
    -0.64
    tumblr
    -0.64
    ions
    -0.61
    encers
    -0.60
    ¥µ
    -0.60
     Flavoring
    -0.59
     Scouting
    -0.59
    razil
    -0.58
    POSITIVE LOGITS
    00
    0.87
    mares
    0.79
    ielding
    0.76
    wagen
    0.73
    oji
    0.70
    ession
    0.69
    50
    0.69
    paces
    0.69
    kie
    0.66
    %-
    0.66
    Activations Density 0.030%

    No Known Activations