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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. 17345
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    Explanations

    information related to the performance and specifications of devices or machines

    oai_token-act-pair · gpt-3.5-turbo

    numerical specifications and performance metrics of products

    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
     Anthropology
    -0.80
     Syri
    -0.73
    archives
    -0.72
    Mask
    -0.71
    Arch
    -0.71
     Poster
    -0.70
    icans
    -0.69
     Scholars
    -0.69
    foundation
    -0.68
     surn
    -0.68
    POSITIVE LOGITS
     torque
    1.43
     airflow
    1.22
     overcl
    1.22
     braking
    1.22
     speeds
    1.21
     acceleration
    1.21
     voltage
    1.18
     throughput
    1.12
     endurance
    1.11
     watts
    1.10
    Activations Density 0.518%

    No Known Activations