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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. 11-RES-JB
    6. 18183
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    INDEX
    Explanations

    phrases related to legal actions and consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to violence and human rights abuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anxiety
    -0.77
    clinton
    -0.76
    20439
    -0.72
     Cooperative
    -0.71
     ECO
    -0.69
    cci
    -0.68
    nergy
    -0.68
     CNBC
    -0.66
     PAC
    -0.66
    Customer
    -0.65
    POSITIVE LOGITS
     executions
    1.66
     cruc
    1.47
     execution
    1.47
     hanged
    1.45
     tortured
    1.39
     executed
    1.39
     crucifix
    1.39
     slaughtered
    1.38
     decap
    1.37
     corpses
    1.36
    Activations Density 0.441%

    No Known Activations