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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. 8-RES-JB
    6. 2873
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    Explanations

    mathematical or programming expressions and content within the text

    oai_token-act-pair · gpt-3.5-turbo

    elements related to programming constructs, variables, and functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chattanooga
    -0.75
     Geoffrey
    -0.73
     Cape
    -0.71
     Head
    -0.71
     Elk
    -0.68
     Venture
    -0.66
     Mash
    -0.66
     Gent
    -0.66
     seiz
    -0.65
     Gorge
    -0.65
    POSITIVE LOGITS
    (
    1.65
    (-
    1.55
    ($
    1.52
    (_
    1.52
    ((
    1.47
    (\
    1.40
    ([
    1.39
    ({
    1.39
    ('
    1.38
    ("
    1.35
    Activations Density 0.069%

    No Known Activations