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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. 13308
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    INDEX
    Explanations

    phrases that involve looking or observing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases about observation or examination

    oai_token-act-pair · gpt-3.5-turbo
    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
    uala
    -0.61
     orally
    -0.59
     facult
    -0.59
    ilts
    -0.58
    accompan
    -0.57
     restraining
    -0.57
    learning
    -0.57
     verbally
    -0.56
    ciating
    -0.56
    aten
    -0.56
    POSITIVE LOGITS
    WARD
    0.81
    oward
    0.73
    ificant
    0.71
     Compass
    0.69
    asma
    0.67
     suspicious
    0.66
    ivable
    0.66
     noses
    0.65
     IMAGES
    0.65
    obin
    0.64
    Activations Density 0.095%

    No Known Activations