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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. 12-RES-JB
    11. 3898
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    Explanations

    time-related references including durations or specific years

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    temporal expressions related to durations and time intervals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥĻ
    -0.68
    rone
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    eus
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    onom
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    hib
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    oux
    -0.58
    omal
    -0.57
    ãĤº
    -0.57
    ©¶æ
    -0.57
    severe
    -0.57
    POSITIVE LOGITS
     since
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    since
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     elapsed
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     Since
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    Activations Density 0.124%

    No Known Activations