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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. 7-RES-JB
    11. 9764
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    Explanations

    mentions of various groups and organizations in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of organizations or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Phones
    -0.73
    Delivery
    -0.69
    Shock
    -0.64
     Hou
    -0.63
    OUS
    -0.62
    Honest
    -0.61
    ãĤ¦ãĤ¹
    -0.60
     Kardashian
    -0.60
    Accessory
    -0.59
    ãĤ¨ãĥ«
    -0.58
    POSITIVE LOGITS
    hips
    1.01
    etter
    0.99
    folk
    0.98
    pace
    0.96
    ystem
    0.96
    chool
    0.94
     groups
    0.92
     affiliated
    0.92
    hell
    0.92
    ourcing
    0.91
    Activations Density 0.123%

    No Known Activations