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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. 10-RES-JB
    6. 9569
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    INDEX
    Explanations

    proper nouns, especially related to politics and news

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to political contexts and figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sabbath
    -1.02
    Weiss
    -1.02
     Weiss
    -1.00
    Wisconsin
    -0.92
     Somerset
    -0.90
     Hess
    -0.89
    Denver
    -0.88
     Hers
    -0.85
     Frost
    -0.85
     Sheffield
    -0.85
    POSITIVE LOGITS
     Duterte
    2.11
     Filipino
    2.03
     Philippine
    1.98
    uterte
    1.98
     Manila
    1.86
     Philippines
    1.84
     Filip
    1.71
     Marcos
    1.58
     Rodrigo
    1.39
     Manny
    1.27
    Activations Density 0.288%

    No Known Activations