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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. 9-RES-JB
    6. 21095
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    Explanations

    words related to deception and falsehoods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dishonesty and deception

    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
    airo
    -0.72
    ateur
    -0.71
    imen
    -0.71
    cise
    -0.70
    aldo
    -0.67
    enhagen
    -0.65
     Alto
    -0.65
    aird
    -0.64
    foreseen
    -0.64
    rises
    -0.63
    POSITIVE LOGITS
     perpetrated
    0.98
     detector
    0.92
    ulent
    0.89
    ulence
    0.82
     pedd
    0.81
     falsely
    0.79
    telling
    0.76
     omission
    0.76
    uten
    0.75
    ument
    0.74
    Activations Density 0.088%

    No Known Activations