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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. 2-RES-JB
    11. 7404
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    Explanations

    mentions of lying or deception

    oai_token-act-pair · gpt-3.5-turbo

    terms related to deception or falsehoods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.87
    orr
    -0.76
    adena
    -0.66
    ron
    -0.65
    icket
    -0.63
    roma
    -0.61
    =-=-=-=-=-=-=-=-
    -0.61
    illa
    -0.60
    aghetti
    -0.59
    rolet
    -0.59
    POSITIVE LOGITS
    utenant
    1.05
    lies
    0.76
    cium
    0.76
     showc
    0.69
    mand
    0.68
    gaard
    0.67
    ffect
    0.65
    lie
    0.65
     princip
    0.64
    backer
    0.64
    Activations Density 0.007%

    No Known Activations