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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. 1704
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    INDEX
    Explanations

    numbers and percentages followed by related words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    quantities and statistical values related to data or metrics

    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
    ocracy
    -0.64
    imen
    -0.61
    gery
    -0.60
     organisation
    -0.59
    activate
    -0.57
    organ
    -0.57
     bureaucr
    -0.57
    rame
    -0.56
    uay
    -0.56
    craft
    -0.55
    POSITIVE LOGITS
     consecutive
    0.98
    th
    0.96
    ÃĹ
    0.90
    %
    0.87
    %-
    0.82
    ½
    0.82
     percent
    0.82
    â̲
    0.81
     degrees
    0.81
    0000000
    0.80
    Activations Density 0.126%

    No Known Activations