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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. 1918
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant events in history and high-stakes decisions

    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
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    Negative Logits
    */(
    -0.80
     analysed
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    TPPStreamerBot
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     partName
    -0.66
    Wednesday
    -0.61
     Latest
    -0.61
    Thursday
    -0.60
    cipled
    -0.59
    zens
    -0.59
    estern
    -0.58
    POSITIVE LOGITS
    ).[
    0.81
    .).
    0.79
     subsidized
    0.69
    .[
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    ."[
    0.66
    Ń·
    0.64
    ".[
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    ).
    0.59
     nearby
    0.59
    Activations Density 1.694%

    No Known Activations