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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17242
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    Explanations

    phrases related to specific actions or events happening

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their experiences or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .).
    -0.98
    .}
    -0.90
    .]
    -0.90
    .—
    -0.88
    .:
    -0.88
    ."[
    -0.87
     accordingly
    -0.87
    .[
    -0.85
    .''.
    -0.83
    .(
    -0.83
    POSITIVE LOGITS
    abies
    0.72
     colourful
    0.68
     birthday
    0.65
     rumours
    0.65
     iconic
    0.63
     Christmas
    0.60
     ageing
    0.59
     festive
    0.58
     Beatles
    0.57
     favourite
    0.56
    Activations Density 1.384%

    No Known Activations