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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. 10-RES-JB
    11. 13797
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    Explanations

    information related to technical specifications such as storage, RAM, and memory in electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to computer or smartphone hardware

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    viol
    -0.75
    iquette
    -0.75
    cific
    -0.74
    uesday
    -0.71
    naire
    -0.68
    quit
    -0.67
    gypt
    -0.67
    formance
    -0.66
    icist
    -0.64
     viol
    -0.64
    POSITIVE LOGITS
     RAM
    1.22
     storage
    1.20
     DDR
    1.19
     Memory
    1.09
     GDDR
    1.08
    Memory
    1.07
     Storage
    1.06
    Storage
    1.05
     HDD
    1.04
     SSD
    1.02
    Activations Density 0.071%

    No Known Activations