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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. 22181
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    INDEX
    Explanations

    mentions of legal or criminal activities and consequences, including sentencing and law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal and societal consequences

    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
     athlet
    -0.79
     Hilbert
    -0.69
     autos
    -0.66
     energetic
    -0.63
     uniqueness
    -0.63
     altern
    -0.63
    oresc
    -0.62
     pecul
    -0.62
     variability
    -0.61
     marvelous
    -0.60
    POSITIVE LOGITS
    terror
    0.79
     jihad
    0.79
    venge
    0.78
     Sharia
    0.78
     rapist
    0.77
    ISIS
    0.77
    Terror
    0.77
     retribution
    0.76
     ransom
    0.76
    FBI
    0.73
    Activations Density 1.233%

    No Known Activations