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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. 3050
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    technical specifications related to electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to computer or mobile device memory and storage

    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
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    Negative Logits
     jur
    -0.75
     offic
    -0.73
    iquette
    -0.73
    viol
    -0.72
    eering
    -0.72
    roit
    -0.70
    estic
    -0.70
     salute
    -0.70
    áµ
    -0.69
    flies
    -0.69
    POSITIVE LOGITS
     HDD
    1.47
     storage
    1.42
     Storage
    1.30
    Storage
    1.29
     SSD
    1.29
     RAM
    1.29
    storage
    1.23
     GDDR
    1.18
    Memory
    1.18
    RAM
    1.17
    Activations Density 0.136%

    No Known Activations