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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
    11. 22259
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    Explanations

    references to computer hardware components, specifically disk-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to storage devices, particularly disks

    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
    hops
    -0.83
    atives
    -0.81
    yer
    -0.77
     Alexis
    -0.70
     Herrera
    -0.70
    oha
    -0.68
    chery
    -0.67
    raising
    -0.67
     Olymp
    -0.67
    ermott
    -0.67
    POSITIVE LOGITS
     disk
    3.62
     disks
    2.95
    disk
    2.66
     Disk
    2.52
    Disk
    2.47
     discs
    1.87
     floppy
    1.61
     HDD
    1.60
     disc
    1.50
     filesystem
    1.37
    Activations Density 0.017%

    No Known Activations