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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. 9-RES-JB
    11. 7160
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of manufactured products and relevant policies affecting human behavior and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.69
     thumbnail
    -0.60
    mble
    -0.58
     TOUR
    -0.58
    phia
    -0.57
    Timer
    -0.57
     Shack
    -0.56
     Quart
    -0.56
     Inventory
    -0.56
    issance
    -0.55
    POSITIVE LOGITS
     resembling
    1.10
     containing
    0.95
     abroad
    0.93
    ourced
    0.90
     deemed
    0.89
     belonging
    0.89
     similar
    0.89
     lawfully
    0.89
     contrary
    0.89
     expressly
    0.88
    Activations Density 0.626%

    No Known Activations