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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. 18044
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    Explanations

    statements or expressions conveying factual information

    oai_token-act-pair · gpt-3.5-turbo

    statements that assert or emphasize a fact

    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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    No Comments

    Negative Logits
     Annotations
    -0.73
    CRIP
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    nas
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    TPPStreamerBot
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    é¾įå¥ij士
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    Refer
    -0.58
     Refer
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    nia
    -0.57
    JP
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    mens
    -0.57
    POSITIVE LOGITS
    oid
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    oids
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     remains
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    Activations Density 0.036%

    No Known Activations