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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. 11657
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    Explanations

    references to news articles or reporters

    oai_token-act-pair · gpt-3.5-turbo

    possessive phrases indicating attribution to various sources or authors

    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
    PLA
    -0.82
    Sov
    -0.81
    #$#$
    -0.78
    unin
    -0.78
    ét
    -0.77
    $$$$
    -0.76
    oves
    -0.74
    utory
    -0.71
    RFC
    -0.71
    sov
    -0.71
    POSITIVE LOGITS
     Geoff
    1.25
     Jonathan
    1.22
     Jeffrey
    1.22
     Jason
    1.21
     Jennifer
    1.19
     Andrew
    1.19
     Matthew
    1.19
     Ian
    1.19
     Erik
    1.18
     Jesse
    1.18
    Activations Density 0.098%

    No Known Activations