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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. 1897
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    Explanations

    phrases related to transportation and travel

    oai_token-act-pair · gpt-3.5-turbo

    sentences and phrases indicating specific actions or events

    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
     passionately
    -0.78
     tyrann
    -0.75
     eloqu
    -0.74
     embodied
    -0.74
     imagined
    -0.72
     beautifully
    -0.72
     persu
    -0.72
     convinc
    -0.72
     murdering
    -0.71
     brilliantly
    -0.71
    POSITIVE LOGITS
     Officials
    1.26
     Previously
    1.22
    Officials
    1.17
     Those
    1.14
     However
    1.13
    Previously
    1.08
     Additionally
    1.05
     Customers
    1.05
     Earlier
    1.01
     Meanwhile
    1.00
    Activations Density 0.569%

    No Known Activations