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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. 3-RES-JB
    11. 3260
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    Explanations

    different types or categories of items

    oai_token-act-pair · gpt-3.5-turbo

    references to different categories or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NING
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    IRO
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    ITED
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    ANI
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    ILLE
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    âĸ¬
    -0.62
    LV
    -0.59
    rique
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    biz
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    yer
    -0.59
    POSITIVE LOGITS
    etting
    1.50
    etter
    1.45
    pace
    1.07
    paces
    1.03
    linger
    0.99
    uggest
    0.97
    afety
    0.93
    chool
    0.92
    hell
    0.92
    uits
    0.91
    Activations Density 0.025%

    No Known Activations