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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. 24162
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    Explanations

    medical, scientific, and technical terms with an emphasis on adjectives and adverbs

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of complexity, size, and type pertaining to entities or systems

    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
    hower
    -0.78
    rower
    -0.77
    keleton
    -0.77
    ©¶æ
    -0.77
    obook
    -0.74
    ridor
    -0.72
    frey
    -0.72
    ulhu
    -0.72
    achu
    -0.71
    alion
    -0.71
    POSITIVE LOGITS
     additions
    1.15
     representations
    1.09
     reminders
    1.08
     creations
    1.06
     condu
    1.04
     extensions
    1.03
     substitutes
    1.03
     ones
    1.03
     entities
    1.01
     replacements
    1.01
    Activations Density 0.457%

    No Known Activations