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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2562
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    Explanations

    names or terms with the letters "inn" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent individuals and specific names

    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
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    -0.74
     è£ıè
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    ħĭ
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     backlog
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     Lumpur
    -0.65
    ĸļ
    -0.63
    Õ
    -0.62
     Kens
    -0.61
    Ͻ
    -0.61
    ãĥ£
    -0.61
    POSITIVE LOGITS
    ruary
    1.35
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    0.97
    ascript
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    ancial
    0.78
    ér
    0.78
    heit
    0.77
    owship
    0.76
    Activations Density 0.260%

    No Known Activations