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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. 20287
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    INDEX
    Explanations

    mentions of specific words or terms related to products, companies, or titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of generic Pokémon descriptions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ching
    -0.73
     glaring
    -0.71
     heel
    -0.71
     voc
    -0.71
     quo
    -0.70
     improvement
    -0.69
     tremend
    -0.69
     semblance
    -0.69
    oused
    -0.68
     mu
    -0.68
    POSITIVE LOGITS
     Cities
    0.97
    Street
    0.97
     Places
    0.97
     Scenes
    0.95
     Investigations
    0.95
     Roads
    0.94
     Foods
    0.94
     Day
    0.94
     Things
    0.94
     Responsibility
    0.94
    Activations Density 0.180%

    No Known Activations