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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. 7-RES-JB
    6. 15015
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    INDEX
    Explanations

    phrases related to confessing or admissions of truth

    oai_token-act-pair · gpt-3.5-turbo

    terms related to admissions and confessions of wrongdoing

    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
     upkeep
    -0.67
     braces
    -0.64
     Orchestra
    -0.64
    isites
    -0.63
    scill
    -0.62
     odds
    -0.61
    PDATE
    -0.61
    axy
    -0.61
    chair
    -0.60
     queues
    -0.60
    POSITIVE LOGITS
     confess
    1.01
     confessions
    0.99
     confession
    0.95
    itives
    0.94
    itive
    0.81
     confessed
    0.80
    sov
    0.78
    essional
    0.74
    cia
    0.73
     incrim
    0.72
    Activations Density 0.040%

    No Known Activations