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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. 7-RES-JB
    6. 13160
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    Explanations

    governmental or formal requests or calls to action

    oai_token-act-pair · gpt-3.5-turbo

    references to government and political entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spo
    -0.64
    )?
    -0.62
     crosses
    -0.61
    zsche
    -0.60
     quot
    -0.58
     intrigue
    -0.58
    acular
    -0.57
     ling
    -0.56
    estyles
    -0.56
    edition
    -0.56
    POSITIVE LOGITS
    DERR
    0.76
     authorities
    0.74
     regulators
    0.71
    NEY
    0.70
    istries
    0.70
    Secretary
    0.68
     Investors
    0.68
     brass
    0.67
     policymakers
    0.65
    SEE
    0.65
    Activations Density 0.422%

    No Known Activations