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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23033
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    INDEX
    Explanations

    phrases indicating falsehood or misinformation

    oai_token-act-pair · gpt-3.5-turbo

    statements that indicate falsehood or misinformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enthusi
    -0.75
     melancholy
    -0.74
     excited
    -0.74
     excitement
    -0.73
    venge
    -0.72
     anx
    -0.71
     farewell
    -0.71
     inspires
    -0.70
    ebted
    -0.70
     exhilar
    -0.69
    POSITIVE LOGITS
    Claim
    0.94
    facts
    0.92
    Fact
    0.90
    Actually
    0.88
     contradicts
    0.88
    Neither
    0.86
     Claims
    0.86
     Correct
    0.86
     Fact
    0.82
     Actually
    0.82
    Activations Density 1.003%

    No Known Activations