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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. 17359
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    INDEX
    Explanations

    adjectives and phrases related to strong impact or effect

    oai_token-act-pair · gpt-3.5-turbo

    instances of qualifying adjectives and adverbs indicating specific characteristics or assessments

    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
    ̶
    -0.86
    .<
    -0.74
    .</
    -0.70
    Rated
    -0.70
    )</
    -0.69
    NBA
    -0.66
    uggle
    -0.66
    .):
    -0.65
    hend
    -0.64
    yrights
    -0.64
    POSITIVE LOGITS
     discrepancy
    1.05
     arrangement
    1.02
     reliance
    0.99
     omission
    0.95
     approach
    0.94
     activity
    0.93
     maneuver
    0.91
     inclusion
    0.91
     results
    0.90
     reasoning
    0.89
    Activations Density 0.294%

    No Known Activations