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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. 10-RES-JB
    6. 22102
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    INDEX
    Explanations

    phrases related to destructive or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to destruction and damage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •GPT2 L10 resid: 'LRRRRRLLRRRL'[:-3]

    No Comments

    Negative Logits
    iasis
    -0.72
    ois
    -0.72
    algia
    -0.69
    idth
    -0.68
    METHOD
    -0.66
     sunshine
    -0.66
     renaissance
    -0.65
    reprene
    -0.64
    ITNESS
    -0.64
    oneliness
    -0.63
    POSITIVE LOGITS
     causing
    0.98
     belonging
    0.97
     guarding
    0.88
     unlawfully
    0.84
     injuring
    0.84
     indiscrim
    0.80
     prematurely
    0.79
     storing
    0.78
     destroying
    0.76
     violently
    0.76
    Activations Density 0.348%

    No Known Activations