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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. 20868
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    Explanations

    references to Syracuse University

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and names

    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
    growth
    -0.91
    teen
    -0.88
    ãĥĩãĤ£
    -0.86
    oos
    -0.85
    eering
    -0.79
    heid
    -0.78
    rodu
    -0.78
    quer
    -0.77
    wagen
    -0.77
    verb
    -0.76
    POSITIVE LOGITS
     Crunch
    0.88
     enthusi
    0.76
    kefeller
    0.76
     Syracuse
    0.75
     mosqu
    0.73
    urses
    0.73
    oya
    0.68
    urst
    0.68
     jaws
    0.68
     lane
    0.67
    Activations Density 0.012%

    No Known Activations