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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. 9-RES-JB
    11. 5301
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    Explanations

    snacks or food items

    oai_token-act-pair · gpt-3.5-turbo

    references to food items and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idates
    -0.80
    roups
    -0.79
    Services
    -0.76
    Users
    -0.76
    Media
    -0.76
    Applications
    -0.75
    Part
    -0.75
    Auth
    -0.74
    Technology
    -0.74
    Versions
    -0.74
    POSITIVE LOGITS
     cowboy
    0.96
     crispy
    0.95
     feral
    0.95
     Winged
    0.92
     butterfly
    0.91
     striped
    0.90
     oversized
    0.87
     pumpkin
    0.86
     lush
    0.86
     tiger
    0.85
    Activations Density 0.638%

    No Known Activations