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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. 0-RES-JB
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    Explanations

    references to specific types of clothing

    oai_token-act-pair · gpt-3.5-turbo

    references to "pantheon" or "pant" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gibraltar
    -0.75
    adiq
    -0.69
    Brexit
    -0.68
     Commodore
    -0.67
    road
    -0.66
     Brexit
    -0.66
    holm
    -0.66
    JR
    -0.66
     Keane
    -0.66
    Deal
    -0.65
    POSITIVE LOGITS
     pant
    4.27
     Pant
    2.87
     Pants
    1.24
     pants
    1.15
     Panther
    1.10
     mant
    0.96
     panties
    0.95
     goddess
    0.93
     pans
    0.91
     pan
    0.90
    Activations Density 0.023%

    No Known Activations