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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. 7-RES-JB
    6. 5832
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    Explanations

    phrases indicating a quantity or group of items

    oai_token-act-pair · gpt-3.5-turbo

    quantities and variations, particularly focusing on the words "few" and "numerous."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istan
    -0.85
    ESE
    -0.83
    anwhile
    -0.77
    SPONSORED
    -0.75
    said
    -0.73
    ared
    -0.72
    Constructed
    -0.71
    ale
    -0.70
    ARS
    -0.70
    ARY
    -0.70
    POSITIVE LOGITS
     interesting
    1.27
     surprises
    1.18
     ways
    1.05
     advantages
    1.04
     modifications
    1.04
     exciting
    1.03
     useful
    1.03
     variations
    1.00
     notable
    0.99
     noteworthy
    0.99
    Activations Density 0.197%

    No Known Activations