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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    words related to political leaders with the title of "Chancellor."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of political leaders, specifically chancellors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cart
    -0.75
     brush
    -0.75
     tet
    -0.62
    gas
    -0.62
    IV
    -0.60
    cas
    -0.60
     underwater
    -0.60
    ript
    -0.60
    ranch
    -0.60
     paddle
    -0.60
    POSITIVE LOGITS
     Chancellor
    4.13
     chancellor
    3.51
    llor
    2.13
    Chance
    2.01
     Treasurer
    1.53
     Merkel
    1.51
     Minister
    1.27
     Chamberlain
    1.21
     Speaker
    1.20
     Duchess
    1.18
    Activations Density 0.016%

    No Known Activations