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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. 9198
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    Explanations

    technical actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    nouns and actions associated with organization and systems

    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
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    No Comments

    Negative Logits
    osuke
    -0.64
    ashington
    -0.62
    sectional
    -0.61
    Enlarge
    -0.59
    ablishment
    -0.58
     Scotia
    -0.57
     suppose
    -0.56
    aceae
    -0.54
     clin
    -0.53
    option
    -0.53
    POSITIVE LOGITS
    lessly
    1.20
    ulate
    1.03
    ify
    1.00
    matically
    0.95
    rily
    0.90
    orously
    0.89
    ishly
    0.89
    ize
    0.87
    imize
    0.83
     them
    0.83
    Activations Density 0.487%

    No Known Activations