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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. 3-RES-JB
    6. 851
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    Explanations

    mentions of policies, proposals, or discussions related to implementing changes for the benefit of society

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lank
    -0.76
    NES
    -0.74
    SPONSORED
    -0.72
     srfAttach
    -0.71
    Customer
    -0.69
    Stre
    -0.68
    Technology
    -0.67
    Prev
    -0.67
    rick
    -0.66
    Sil
    -0.66
    POSITIVE LOGITS
     smugglers
    1.11
     who
    0.92
    folk
    0.90
     traffickers
    0.80
     cared
    0.77
    gnu
    0.77
     born
    0.74
     smuggling
    0.73
    ourced
    0.71
    hood
    0.70
    Activations Density 0.119%

    No Known Activations