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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. 17284
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    INDEX
    Explanations

    action verbs in the gerund form

    oai_token-act-pair · gpt-3.5-turbo

    statements asserting the importance or impact of various actions or policies

    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
     Berm
    -0.69
    awed
    -0.66
    ials
    -0.65
     Codex
    -0.64
     Ladies
    -0.62
    apps
    -0.62
     Tus
    -0.61
     Cree
    -0.61
    types
    -0.60
    ody
    -0.60
    POSITIVE LOGITS
     prevents
    1.12
     helps
    1.08
     enhances
    1.03
     facilitates
    1.03
     eliminates
    1.01
     promotes
    1.00
     hinder
    1.00
     exacerbate
    1.00
     enables
    1.00
     destroys
    1.00
    Activations Density 0.340%

    No Known Activations