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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. 9425
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    Explanations

    statements or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    various types of colons or punctuation that introduce lists or explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ento
    -0.75
     accustomed
    -0.74
    velt
    -0.69
    atible
    -0.67
    aign
    -0.67
    izons
    -0.66
    uly
    -0.64
    ceivable
    -0.64
    amo
    -0.64
     dotted
    -0.63
    POSITIVE LOGITS
     namely
    1.59
     Its
    0.79
     Firstly
    0.70
     Something
    0.69
     Marijuana
    0.68
     Someone
    0.68
     Their
    0.67
     Calling
    0.67
     viz
    0.66
     Exploration
    0.66
    Activations Density 0.209%

    No Known Activations