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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. 7-RES-JB
    11. 18871
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    INDEX
    Explanations

    instances of measuring or measurement related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to measurement and quantification concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    illard
    -0.79
    osate
    -0.74
    udeb
    -0.72
    ategor
    -0.70
    ovie
    -0.69
    burning
    -0.69
    ccoli
    -0.67
    written
    -0.66
    sle
    -0.66
     Safari
    -0.66
    POSITIVE LOGITS
    Measure
    0.85
     Measure
    0.83
     measuring
    0.79
     measurement
    0.79
     measurements
    0.77
     instruments
    0.75
     metrics
    0.74
    enance
    0.74
    downs
    0.73
     elapsed
    0.69
    Activations Density 0.036%

    No Known Activations