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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. 7828
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    Explanations

    Japanese names, especially with surnames ending in "ashima" or "agami"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.91
    kefeller
    -0.73
     crop
    -0.68
     synthetic
    -0.65
     transplant
    -0.63
    ruary
    -0.63
     deform
    -0.62
     surg
    -0.62
    berus
    -0.62
     Kissinger
    -0.62
    POSITIVE LOGITS
    uchi
    1.08
    aki
    1.03
    aku
    1.02
    atsu
    1.02
    awa
    1.01
    ashi
    0.97
    iya
    0.92
    uku
    0.91
    achi
    0.90
    uni
    0.90
    Activations Density 0.209%

    No Known Activations