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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. 6-RES-JB
    6. 16349
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    INDEX
    Explanations

    locations or settings where events occur

    oai_token-act-pair · gpt-3.5-turbo

    references to the scene of an incident or event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.99
    raltar
    -0.82
    atever
    -0.77
     Seym
    -0.76
    berman
    -0.74
     barley
    -0.68
    iago
    -0.68
    matically
    -0.66
    glomer
    -0.65
    haps
    -0.65
    POSITIVE LOGITS
    ewitness
    0.79
     Scene
    0.77
     scene
    0.75
    Dialogue
    0.75
    EMS
    0.73
     Reconstruction
    0.72
     unfold
    0.71
     location
    0.70
    scene
    0.70
     site
    0.69
    Activations Density 0.018%

    No Known Activations