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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. 14052
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    Explanations

    proper nouns of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper names, specifically individuals' names

    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
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.71
    ãĥ¼ãĥĨãĤ£
    -0.70
    incarn
    -0.68
    insula
    -0.67
    Interested
    -0.65
    Late
    -0.64
    Lex
    -0.63
    VK
    -0.61
    soDeliveryDate
    -0.60
    berra
    -0.60
    POSITIVE LOGITS
     nevertheless
    1.03
     resorted
    1.01
     opted
    0.97
     ventured
    0.92
     nonetheless
    0.88
     vowed
    0.86
     reverted
    0.86
     struggled
    0.84
     began
    0.83
     realized
    0.83
    Activations Density 0.309%

    No Known Activations