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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. 6-RES-JB
    6. 16743
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    Explanations

    keywords related to intelligence agencies and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to intelligence agencies or communities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nered
    -0.77
    zl
    -0.74
    interstitial
    -0.73
    anan
    -0.70
    pain
    -0.69
    ikan
    -0.69
     ç¥ŀ
    -0.67
    olds
    -0.66
    ifest
    -0.65
    joy
    -0.65
    POSITIVE LOGITS
     briefings
    0.96
     analyst
    0.92
     Agency
    0.89
     agency
    0.85
     bulletin
    0.85
     agencies
    0.85
     quot
    0.85
    elligence
    0.83
     officer
    0.83
     agent
    0.80
    Activations Density 0.025%

    No Known Activations