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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. 19567
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    Explanations

    references to activities related to watching or seeing

    oai_token-act-pair · gpt-3.5-turbo

    references to "viewing" in various contexts

    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
    ascal
    -0.75
     whistle
    -0.70
    redo
    -0.68
    backer
    -0.68
     sprung
    -0.68
    unin
    -0.67
    ursed
    -0.67
    breaking
    -0.66
    cake
    -0.64
    accompan
    -0.64
    POSITIVE LOGITS
    ById
    0.91
    iences
    0.88
     comprehension
    0.86
     screens
    0.85
     viewing
    0.81
     glasses
    0.79
     enjoyment
    0.79
    tainment
    0.77
    ults
    0.75
     "$:/
    0.74
    Activations Density 0.018%

    No Known Activations