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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. 3-RES-JB
    6. 1061
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    Explanations

    mentions of censorship or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    references to censorship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Dragonbound
    -0.79
     Goo
    -0.79
    ¯¯¯¯¯¯¯¯
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     Duchess
    -0.73
     Donetsk
    -0.71
     Vader
    -0.71
     ESA
    -0.70
     Anthem
    -0.70
     Rebellion
    -0.69
     Finn
    -0.69
    POSITIVE LOGITS
     cens
    1.16
    orious
    1.12
    oring
    1.07
    orable
    0.96
    pling
    0.92
    urable
    0.89
    »
    0.88
    ij
    0.88
    orial
    0.87
    ile
    0.86
    Activations Density 0.011%

    No Known Activations