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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. 11741
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    INDEX
    Explanations

    statistical information or data related to percentages and numbers

    oai_token-act-pair · gpt-3.5-turbo

    quantitative statistics related to public opinion or survey results

    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
     lamps
    -0.62
     transported
    -0.61
     shiny
    -0.61
     upgrades
    -0.60
     renovations
    -0.60
     evict
    -0.60
     Kafka
    -0.60
     shel
    -0.60
     timelines
    -0.60
     mats
    -0.59
    POSITIVE LOGITS
    thirds
    1.18
    percent
    1.09
     thirds
    1.02
    half
    0.99
    fifth
    0.98
    Percent
    0.96
     percent
    0.95
    third
    0.95
     percentage
    0.94
    quarter
    0.93
    Activations Density 0.200%

    No Known Activations