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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. 6-RES-JB
    6. 3970
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    INDEX
    Explanations

    words related to something very obvious, clear, and often negative

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "blatant" and its variations, indicating obvious or clear wrongdoing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agine
    -0.87
    ovember
    -0.82
    arios
    -0.78
    yip
    -0.77
    ulton
    -0.77
    nesota
    -0.74
    iership
    -0.74
    erves
    -0.70
    ivas
    -0.69
     safely
    -0.68
    POSITIVE LOGITS
     disregard
    0.99
     misrepresent
    0.94
     hypocrisy
    0.93
    iary
    0.91
     violations
    0.88
     violation
    0.86
     blatant
    0.83
     fals
    0.79
     disreg
    0.79
     falsehood
    0.78
    Activations Density 0.040%

    No Known Activations