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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. 7514
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    Explanations

    comparisons of quantity or degree, particularly emphasizing one thing as being more or less than another

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "more."

    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
    lees
    -0.89
     Travels
    -0.84
     Committees
    -0.74
    æ©
    -0.73
     Releases
    -0.72
    seconds
    -0.70
    marks
    -0.69
    bows
    -0.69
     Dancing
    -0.69
    ONES
    -0.68
    POSITIVE LOGITS
     complicated
    1.06
     efficient
    1.05
     expansive
    0.99
     elaborate
    0.99
     detailed
    0.99
     manageable
    0.97
     nuanced
    0.96
     plausible
    0.96
     convenient
    0.92
    than
    0.92
    Activations Density 0.066%

    No Known Activations