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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. 8895
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    Explanations

    phrases related to financial transactions or pricing

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements related to various contexts

    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
     guiName
    -0.87
    ãĢİ
    -0.62
    ãĢIJ
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    etheless
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    -0.53
    ":[{"
    -0.52
     traged
    -0.49
    wcs
    -0.48
    [/
    -0.46
    Newsletter
    -0.46
    POSITIVE LOGITS
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    2.02
    Activations Density 1.156%

    No Known Activations