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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. 11-RES-JB
    11. 22647
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    Explanations

    technical specifications and features related to electronics and technology

    oai_token-act-pair · gpt-3.5-turbo

    features related to performance improvements in technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atu
    -0.87
    nesday
    -0.76
    ypes
    -0.74
    DragonMagazine
    -0.73
    ocrats
    -0.73
    greg
    -0.71
    zie
    -0.70
    mr
    -0.69
    */(
    -0.68
    dress
    -0.68
    POSITIVE LOGITS
     reliability
    1.61
     durability
    1.52
     usability
    1.51
     responsiveness
    1.50
     performance
    1.49
     stability
    1.42
     longevity
    1.38
     accuracy
    1.34
     throughput
    1.32
     efficiency
    1.31
    Activations Density 0.187%

    No Known Activations