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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. 3-RES-JB
    11. 12008
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, research, and specific data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.58
     Beir
    -0.56
    anwhile
    -0.47
     Ambro
    -0.46
    enegger
    -0.46
    Lago
    -0.45
    quished
    -0.44
    ĪĴ
    -0.41
     Cummings
    -0.41
    ItemThumbnailImage
    -0.40
    POSITIVE LOGITS
     crop
    0.43
     initiative
    0.43
     asset
    0.43
     playbook
    0.42
     wardrobe
    0.40
     Autob
    0.39
     badge
    0.38
     alliance
    0.38
     paycheck
    0.38
     occupation
    0.38
    Activations Density 3.362%

    No Known Activations