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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. 2-RES-JB
    11. 7875
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    Explanations

    phrases containing technical or formal terminology

    oai_token-act-pair · gpt-3.5-turbo

    elements related to unclear or coded communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ń·
    -0.80
    hement
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     unsuspecting
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     wiser
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     overt
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     tempted
    -0.68
     undermin
    -0.68
    ensibly
    -0.67
    earch
    -0.67
     honoured
    -0.65
    POSITIVE LOGITS
    ³³³³
    1.05
    ³³³³³³³³
    1.00
    ³³³
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    ³³
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    ³³³³³³³³³³³³³³³³
    0.93
    Posted
    0.90
    âĹı
    0.90
    ################################
    0.89
    âĢ
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    ////////////////////////////////
    0.84
    Activations Density 1.128%

    No Known Activations