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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 2650
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    Explanations

    phrases related to legal and political contexts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of confusion or puzzlement

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Osc
    -0.88
     Rockefeller
    -0.78
    kefeller
    -0.73
     Chandler
    -0.72
     Eisenhower
    -0.71
     Wright
    -0.70
     Rhodes
    -0.70
     Roc
    -0.70
     Hughes
    -0.68
     Hank
    -0.68
    POSITIVE LOGITS
     âĢ
    1.87
    âĢ
    1.60
    âĢł
    1.28
     â
    1.19
    âĢİ
    1.11
    ¶
    1.08
    ðĿ
    1.06
    â
    1.05
    §
    1.03
    ï¸ı
    1.01
    Activations Density 1.000%

    No Known Activations