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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. 1234
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    INDEX
    Explanations

    phrases related to political discussions and agreements

    oai_token-act-pair · gpt-3.5-turbo

    statements related to predictions about the future

    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
     markings
    -0.73
     sibling
    -0.69
    Custom
    -0.68
     contracted
    -0.68
     CLSID
    -0.67
     handles
    -0.66
     initials
    -0.66
     booking
    -0.65
     visitation
    -0.64
     placement
    -0.64
    POSITIVE LOGITS
     Keynes
    1.21
     Chomsky
    1.21
     Krugman
    1.16
     Libertarian
    1.14
     economists
    1.11
     Economist
    1.11
     populism
    1.10
     libertarians
    1.09
    omsky
    1.09
     libertarian
    1.09
    Activations Density 1.128%

    No Known Activations