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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. 2-RES-JB
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    Explanations

    references to the city of Las Vegas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Las Vegas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alys
    -0.82
    Ü
    -0.73
    ä
    -0.72
    OTHER
    -0.71
    drawn
    -0.70
    alog
    -0.70
    vironment
    -0.70
    boards
    -0.69
    ħ
    -0.68
    author
    -0.68
    POSITIVE LOGITS
     Vegas
    1.19
     Lumpur
    0.99
     Strip
    0.95
     Reno
    0.85
     Boulevard
    0.84
     Sands
    0.84
     casinos
    0.83
     Blvd
    0.79
     Metropolitan
    0.78
     Casino
    0.75
    Activations Density 0.006%

    No Known Activations