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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. 5-RES-JB
    6. 13651
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    INDEX
    Explanations

    studies or research findings

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating that studies have provided evidence or results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iche
    -0.91
     contrace
    -0.70
    pour
    -0.70
    dt
    -0.68
    orrow
    -0.67
    aband
    -0.66
    externalActionCode
    -0.65
    EStreamFrame
    -0.63
    coe
    -0.61
    etheless
    -0.60
    POSITIVE LOGITS
    ered
    0.83
     probable
    0.77
     favour
    0.72
     conclusive
    0.71
    rays
    0.69
    -+-+
    0.69
    runners
    0.69
     abnormalities
    0.68
    awed
    0.67
    rooms
    0.67
    Activations Density 0.054%

    No Known Activations