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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. 4-RES-JB
    11. 19366
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    Explanations

    references to physical containers, specifically bowls

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of bowls

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

    No Comments

    Negative Logits
     Lauder
    -0.70
     Bundes
    -0.65
    apse
    -0.65
     Jenner
    -0.64
     Anarchy
    -0.63
     Phantom
    -0.62
    eanor
    -0.60
     Draper
    -0.60
     Monarch
    -0.59
     Anton
    -0.59
    POSITIVE LOGITS
    bowl
    1.15
     bowl
    1.06
    cup
    1.00
    pipe
    0.95
     bowls
    0.92
    hend
    0.89
    cake
    0.86
    cakes
    0.85
     Bowl
    0.82
    bath
    0.81
    Activations Density 0.013%

    No Known Activations