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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3857
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    Explanations

    mentions of specific food items and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to food and local businesses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":[{"
    -0.61
    wcs
    -0.60
     guiName
    -0.54
    odcast
    -0.50
    PART
    -0.48
    ↵↵
    -0.48
    HOU
    -0.47
     (?,
    -0.45
    establishment
    -0.45
    CHAPTER
    -0.44
    POSITIVE LOGITS
    ?).
    2.02
    !).
    1.98
    )."
    1.96
    ').
    1.95
    .).
    1.93
    ).
    1.88
    .)
    1.84
    ").
    1.81
    ?)
    1.79
    !)
    1.77
    Activations Density 1.840%

    No Known Activations