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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. 7-RES-JB
    11. 8934
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    INDEX
    Explanations

    instances of lying or deception

    oai_token-act-pair · gpt-3.5-turbo

    instances of dishonesty or deceit

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.81
    pour
    -0.76
    wcs
    -0.71
    amaz
    -0.71
    Streamer
    -0.71
    winner
    -0.70
    cade
    -0.70
    eric
    -0.68
    flush
    -0.67
    Comment
    -0.67
    POSITIVE LOGITS
     omission
    1.05
     falsely
    0.86
    uth
    0.80
     dece
    0.76
     deceived
    0.72
     innocence
    0.71
     Blumenthal
    0.70
     deceive
    0.70
     pretended
    0.69
     perjury
    0.69
    Activations Density 0.281%

    No Known Activations