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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7620
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    Explanations

    references to specific universities and sports teams, with a focus on LSU and BYU

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams, particularly LSU and Clemson

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥĪ
    -0.79
    reason
    -0.75
    orders
    -0.73
    views
    -0.70
    quest
    -0.70
    fare
    -0.70
    lyak
    -0.70
    Britain
    -0.65
    itia
    -0.64
    cedented
    -0.63
    POSITIVE LOGITS
     LSU
    1.11
    mson
    0.87
     athletics
    0.81
    essor
    0.79
     linebackers
    0.78
     undergrad
    0.75
     Extension
    0.74
     Bulldogs
    0.72
     Tigers
    0.72
     Rutgers
    0.72
    Activations Density 0.007%

    No Known Activations