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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. 5-RES-JB
    6. 24558
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    Explanations

    phrases related to law enforcement and government institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to local government and police activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GOP
    -0.96
    Washington
    -0.94
    Defense
    -0.93
     Bundy
    -0.93
    caliber
    -0.90
     Lamar
    -0.90
    heimer
    -0.89
    Texas
    -0.88
     Whitman
    -0.88
    avored
    -0.88
    POSITIVE LOGITS
     realise
    1.38
     centre
    1.35
     Scotland
    1.33
     £
    1.33
     realised
    1.31
     recognise
    1.31
     enqu
    1.29
     centres
    1.29
     recognised
    1.26
     organising
    1.25
    Activations Density 0.851%

    No Known Activations