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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. 4-RES-JB
    11. 10822
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    Explanations

    numbers with a decimal point

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, specifically statistics and figures

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

    No Comments

    Negative Logits
    busters
    -0.73
    nuts
    -0.73
    umbn
    -0.71
    raltar
    -0.70
    pty
    -0.70
    rament
    -0.66
    adobe
    -0.64
     straw
    -0.62
     "$:/
    -0.62
    heads
    -0.61
    POSITIVE LOGITS
     billion
    0.93
    GHz
    0.93
     million
    0.92
     trillion
    0.83
     crore
    0.80
    million
    0.79
     GHz
    0.79
    MW
    0.79
     Million
    0.78
     percent
    0.74
    Activations Density 0.071%

    No Known Activations