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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. 6057
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Wilmington
    -0.70
     contingency
    -0.69
     burgeoning
    -0.66
     advisers
    -0.64
     kicker
    -0.64
     countering
    -0.63
     advisors
    -0.62
     narrowing
    -0.61
     advisory
    -0.61
     Monroe
    -0.61
    POSITIVE LOGITS
    ï¸ı
    1.53
    âĢ
    1.12
    \":
    1.12
    à¼
    1.09
    âĸł
    1.08
    âĹ
    0.98
    Ì
    0.98
    âĿ
    0.97
    ername
    0.96
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.96
    Activations Density 0.225%

    No Known Activations