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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. 11132
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    INDEX
    Explanations

    mentions of Japanese names and titles

    oai_token-act-pair · gpt-3.5-turbo

    names related to Japanese culture and cuisine

    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
    lain
    -0.92
    ²¾
    -0.77
    nell
    -0.77
    bones
    -0.75
    castle
    -0.71
    ansas
    -0.71
    xual
    -0.70
    byss
    -0.70
    thouse
    -0.69
    busters
    -0.69
    POSITIVE LOGITS
    ya
    0.97
    yah
    0.90
     Tanaka
    0.85
     Yen
    0.83
    omi
    0.82
    uri
    0.82
    YA
    0.78
    ichi
    0.75
    zzi
    0.75
     Mats
    0.75
    Activations Density 0.020%

    No Known Activations