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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. 11-RES-JB
    11. 14961
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    Explanations

    mentions of the word "helps" followed by a noun phrase describing some type of pain or problem

    oai_token-act-pair · gpt-3.5-turbo

    quotes or statements from individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creator
    -0.62
     endpoint
    -0.59
    isu
    -0.57
    Instead
    -0.54
    urden
    -0.54
    rier
    -0.54
     mindset
    -0.53
    ipient
    -0.52
     Dragonbound
    -0.52
    orem
    -0.51
    POSITIVE LOGITS
     occasionally
    1.06
     alot
    1.00
     notably
    0.97
    especially
    0.95
    sometimes
    0.95
    particularly
    0.94
     especially
    0.92
     sometimes
    0.92
     occasional
    0.90
    some
    0.90
    Activations Density 1.004%

    No Known Activations