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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. 7657
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    Explanations

    numbers and statistics

    oai_token-act-pair · gpt-3.5-turbo

    statistics or numerical data related to events or occurrences

    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
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    No Comments

    Negative Logits
    Í
    -0.70
    soDeliveryDate
    -0.64
    ħĭ
    -0.62
    dayName
    -0.57
    SpaceEngineers
    -0.56
    IGH
    -0.56
     Freak
    -0.54
    #$#$
    -0.54
    displayText
    -0.54
    Appearance
    -0.53
    POSITIVE LOGITS
     344
    1.29
     339
    1.26
     387
    1.26
     341
    1.26
     389
    1.26
     383
    1.25
     294
    1.25
     373
    1.25
     318
    1.24
     317
    1.24
    Activations Density 0.286%

    No Known Activations