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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. 11-RES-JB
    11. 1862
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    Explanations

    prices and discounts

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly prices and costs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NetMessage
    -0.83
     pse
    -0.81
     pregn
    -0.81
     enthusi
    -0.74
     unden
    -0.72
     epidem
    -0.72
     strugg
    -0.70
     advoc
    -0.69
    ornia
    -0.69
     glim
    -0.69
    POSITIVE LOGITS
    95
    1.95
    99
    1.91
    00
    1.81
    50
    1.73
    90
    1.55
    98
    1.54
    97
    1.52
    75
    1.50
    80
    1.44
    96
    1.43
    Activations Density 0.038%

    No Known Activations