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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. 9-RES-JB
    6. 829
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    INDEX
    Explanations

    words related to legislative actions and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    instances of actions related to voting or legislative processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.86
    pict
    -0.79
    CTV
    -0.77
     Milky
    -0.72
     Dying
    -0.71
     wandering
    -0.69
     Kinnikuman
    -0.66
    mails
    -0.66
    Luck
    -0.65
     glances
    -0.65
    POSITIVE LOGITS
     abolish
    1.61
     legalize
    1.50
     amend
    1.49
     repeal
    1.46
     enact
    1.41
     appoint
    1.37
     impose
    1.37
     authorize
    1.34
     nominate
    1.34
     regulate
    1.32
    Activations Density 0.306%

    No Known Activations