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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. 955
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    INDEX
    Explanations

    mentions of diversity or a wide range of things

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "variety" and its related contexts

    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
    abase
    -0.81
    jin
    -0.74
    robe
    -0.73
    ossier
    -0.71
    mond
    -0.69
    uben
    -0.69
    reon
    -0.69
    rollers
    -0.68
    mit
    -0.68
    amina
    -0.68
    POSITIVE LOGITS
     thereof
    0.83
     Flavoring
    0.83
    icult
    0.75
     ranging
    0.72
     variety
    0.72
    ensical
    0.72
     ways
    0.72
     assortment
    0.71
     ranges
    0.71
     distributions
    0.71
    Activations Density 0.024%

    No Known Activations