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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. 5616
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    Explanations

    language related to physical actions and mechanisms such as condensing, evaporating, transporting, and using capillary action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to processes involving transformation and transportation of substances

    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
    inances
    -0.58
     lately
    -0.57
     Updated
    -0.56
     NAFTA
    -0.55
     abroad
    -0.55
     campaigned
    -0.54
     promotions
    -0.54
    ibrary
    -0.53
    inav
    -0.53
     scandals
    -0.52
    POSITIVE LOGITS
     onlook
    0.81
    )))
    0.75
    ))))
    0.72
     unsuspecting
    0.66
    nown
    0.60
     remainder
    0.60
    )).
    0.60
    Result
    0.60
    ãĥŃ
    0.59
     eternity
    0.59
    Activations Density 1.162%

    No Known Activations