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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. 5-RES-JB
    6. 19977
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    geographic locations or state names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BOOK
    -0.78
    schild
    -0.68
    ãĥĬ
    -0.68
     Crimean
    -0.65
    pod
    -0.65
     Gravity
    -0.64
     materials
    -0.63
    lords
    -0.62
    length
    -0.61
     lengths
    -0.61
    POSITIVE LOGITS
    herty
    1.02
    .,
    0.97
    adelphia
    0.91
    adena
    0.83
    achu
    0.83
    VIDIA
    0.83
    acan
    0.81
    olla
    0.80
    osi
    0.80
    heed
    0.80
    Activations Density 0.023%

    No Known Activations