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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. 5-RES-JB
    6. 15194
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    Explanations

    mentions of the word "Hum" with comparably high activations

    oai_token-act-pair · gpt-3.5-turbo

    references to humor or comedic elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cape
    -0.71
     Peaks
    -0.71
     ---------
    -0.71
     EntityItem
    -0.70
    ãĤ´ãĥ³
    -0.68
    å§
    -0.65
    hips
    -0.65
     flagged
    -0.64
     Sands
    -0.62
     approve
    -0.62
    POSITIVE LOGITS
    pty
    1.06
    ility
    1.04
    orously
    1.03
    iday
    1.02
    undai
    1.01
    ankind
    0.99
     Hum
    0.92
    Hum
    0.88
    mers
    0.87
    obiles
    0.86
    Activations Density 0.012%

    No Known Activations