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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. 4-RES-JB
    11. 20212
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    Explanations

    names of buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to the White House or associated political entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.90
     fixme
    -0.85
    docker
    -0.73
    !--
    -0.70
    bleacher
    -0.70
    ryu
    -0.70
    lessly
    -0.68
    lihood
    -0.68
    rg
    -0.68
    dayName
    -0.65
    POSITIVE LOGITS
     Citiz
    0.86
    ĺ
    0.76
    ·
    0.74
    ĩ
    0.73
     wardrobe
    0.68
    ¹
    0.66
    Ħ
    0.65
    Ŀ
    0.64
     fanbase
    0.62
     rookies
    0.61
    Activations Density 0.391%

    No Known Activations