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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. 2-RES-JB
    6. 2287
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    INDEX
    Explanations

    imperative sentences directing action or behavior

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical references or rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     basket
    -0.77
     hust
    -0.71
     swinging
    -0.69
    hung
    -0.68
     guarding
    -0.66
     whipping
    -0.65
     swept
    -0.63
     imagining
    -0.62
    bered
    -0.62
     assum
    -0.62
    POSITIVE LOGITS
    theless
    0.90
     SHARES
    0.80
    å¹
    0.79
     Adds
    0.77
     ILCS
    0.77
     Expand
    0.75
    :{
    0.75
     Contents
    0.74
     Detected
    0.74
    maxwell
    0.73
    Activations Density 0.211%

    No Known Activations