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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. 11766
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to financial or economic issues

    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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    Negative Logits
     marsh
    -0.79
     pen
    -0.78
     cords
    -0.73
     pigeon
    -0.73
     incorpor
    -0.73
     restraints
    -0.73
     electrodes
    -0.72
     harness
    -0.72
     tyres
    -0.72
     poisoning
    -0.71
    POSITIVE LOGITS
    ï¸ı
    1.42
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.16
     Advertisement
    1.16
    âĢ
    1.12
    ccording
    1.08
    âĸ¬âĸ¬
    1.04
    âĹ
    1.03
     âĢº
    1.00
    âĶĢâĶĢ
    1.00
     VIDEOS
    0.97
    Activations Density 0.092%

    No Known Activations