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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. 9734
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    Explanations

    statements related to belief or trust

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express belief or trust

    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
    imilar
    -0.77
    aida
    -0.71
    idian
    -0.70
     sidel
    -0.66
    entin
    -0.66
    undy
    -0.66
    inav
    -0.65
    imer
    -0.65
    ertation
    -0.65
    ija
    -0.63
    POSITIVE LOGITS
     when
    0.72
     WHEN
    0.65
     Yourself
    0.61
     hype
    0.60
     yourselves
    0.57
     unless
    0.57
     expr
    0.56
     whenever
    0.56
     eminent
    0.56
     }}
    0.55
    Activations Density 0.069%

    No Known Activations