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

    mentions of the basketball team "Celtics."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of basketball teams and their related information

    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
    judicial
    -0.79
    lying
    -0.75
    SPONSORED
    -0.73
    shore
    -0.65
     Nar
    -0.64
     verification
    -0.61
     Hume
    -0.60
    lied
    -0.59
    ppe
    -0.58
    fare
    -0.57
    POSITIVE LOGITS
     Pacers
    1.02
     Basketball
    1.01
    NBA
    0.99
     basketball
    0.94
     Hots
    0.86
     Celtics
    0.83
     Raptors
    0.83
    birds
    0.79
     Nuggets
    0.78
    pread
    0.78
    Activations Density 0.028%

    No Known Activations