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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. 0-RES-JB
    11. 16755
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    Explanations

    words related to falsehoods or false accusations

    oai_token-act-pair · gpt-3.5-turbo

    references to falsehoods and misinformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tackle
    -0.71
    Enjoy
    -0.69
     enjoying
    -0.68
    estones
    -0.67
     enjoyed
    -0.64
    ishi
    -0.61
    hens
    -0.60
    ercise
    -0.60
    cend
    -0.59
     Appalach
    -0.59
    POSITIVE LOGITS
     false
    3.60
    false
    2.74
     False
    2.35
    False
    2.33
     untrue
    2.10
     spurious
    1.96
     FALSE
    1.96
     falsehood
    1.91
     falsely
    1.88
    true
    1.87
    Activations Density 0.018%

    No Known Activations