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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. 8-RES-JB
    11. 4883
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to rankings, evaluations, or notable accolades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.61
     inclined
    -0.61
     toget
    -0.60
     masked
    -0.58
     dipping
    -0.57
     dart
    -0.56
     stem
    -0.56
     nostalgic
    -0.56
     bolster
    -0.55
     casualty
    -0.55
    POSITIVE LOGITS
     Ratio
    0.91
     Strategies
    0.91
     Skies
    0.89
     Matters
    0.89
     Names
    0.86
     Matter
    0.86
     Disorder
    0.86
     Machines
    0.86
     Syndrome
    0.86
     Therapy
    0.85
    Activations Density 0.589%

    No Known Activations