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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of political figures specifically identified as senators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "senator."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Condition
    -0.90
     Disorder
    -0.86
     Crew
    -0.81
     Week
    -0.78
     Styles
    -0.77
     Components
    -0.76
     Events
    -0.76
     Supply
    -0.75
     Fields
    -0.75
     Logic
    -0.74
    POSITIVE LOGITS
    ially
    0.96
     franc
    0.92
     elector
    0.82
     choir
    0.77
     mayor
    0.73
     senator
    0.73
    uary
    0.70
     laureate
    0.70
     rabbi
    0.69
     councillor
    0.69
    Activations Density 0.030%

    No Known Activations