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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. 2-RES-JB
    11. 11338
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    Explanations

    mentions of storage systems or capability

    oai_token-act-pair · gpt-3.5-turbo

    references to storage capacity and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.83
    kok
    -0.81
    atown
    -0.78
    enegger
    -0.76
    psey
    -0.73
     Australian
    -0.72
    inel
    -0.70
    inion
    -0.69
    ler
    -0.68
    olulu
    -0.67
    POSITIVE LOGITS
     storage
    1.08
     racks
    0.90
    storage
    0.88
     shelves
    0.86
    Storage
    0.85
     Storage
    0.83
     cellar
    0.83
     depot
    0.83
     closet
    0.80
     capacity
    0.79
    Activations Density 0.015%

    No Known Activations