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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. 10-RES-JB
    11. 10685
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    Explanations

    phrases related to investigation, examination, and monitoring of situations or matters

    oai_token-act-pair · gpt-3.5-turbo

    references to the examination and monitoring of situations or matters in detail

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iHUD
    -0.75
     Entered
    -0.61
     WTC
    -0.60
     Default
    -0.57
    earable
    -0.57
    °
    -0.56
    TABLE
    -0.56
     Primordial
    -0.56
    interstitial
    -0.55
     Yellowstone
    -0.55
    POSITIVE LOGITS
     carefully
    1.67
     harshly
    1.60
     closely
    1.60
     cautiously
    1.54
     vigorously
    1.52
     aggressively
    1.51
     diligently
    1.49
     intensely
    1.46
     wisely
    1.45
     thoroughly
    1.44
    Activations Density 1.019%

    No Known Activations