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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. 8-RES-JB
    11. 13001
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    INDEX
    Explanations

    phrases beginning with "First, "

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of introductory phrases in a text

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    oslav
    -0.74
    rams
    -0.69
    bd
    -0.64
    xd
    -0.62
    "},"
    -0.62
    etheless
    -0.62
    ende
    -0.60
    wives
    -0.60
    regation
    -0.60
    ouses
    -0.60
    POSITIVE LOGITS
     congratulations
    0.90
     let
    0.82
     introdu
    0.80
     Introduction
    0.75
     congr
    0.73
     Sabha
    0.71
     apologize
    0.70
     hello
    0.69
     lets
    0.65
     initialize
    0.65
    Activations Density 0.109%

    No Known Activations