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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. 9028
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    Explanations

    phrases related to social interactions and societal impact

    oai_token-act-pair · gpt-3.5-turbo

    instances of collective experiences or societal issues

    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
    inventoryQuantity
    -0.72
    neck
    -0.68
    phas
    -0.64
    iste
    -0.64
    itual
    -0.62
    range
    -0.61
     Canaver
    -0.61
    userc
    -0.60
    UA
    -0.60
    jong
    -0.59
    POSITIVE LOGITS
     clam
    0.95
     alike
    0.94
     applaud
    0.93
     ridicule
    0.90
     jealous
    0.89
     trem
    0.89
     disbel
    0.87
     cheering
    0.85
     reacted
    0.85
     react
    0.84
    Activations Density 0.604%

    No Known Activations