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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. 17627
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    Explanations

    locations related to a specific geographical area

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically periods

    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
    plet
    -0.82
     mosqu
    -0.80
     microbiome
    -0.80
     tack
    -0.80
     upgr
    -0.77
     pace
    -0.76
    urance
    -0.76
     crunch
    -0.75
     tackling
    -0.74
     welcome
    -0.72
    POSITIVE LOGITS
     Interestingly
    1.52
     However
    1.52
     Although
    1.44
     Occasionally
    1.44
     Additionally
    1.40
     Though
    1.38
     According
    1.38
     Originally
    1.37
     Ironically
    1.36
     Notably
    1.36
    Activations Density 0.309%

    No Known Activations