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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. 8-RES-JB
    11. 8577
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    INDEX
    Explanations

    quotes or dialogue with proper nouns mentioned

    oai_token-act-pair · gpt-3.5-turbo

    quotes or reported speech from individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Feminist
    -0.76
     NGOs
    -0.75
     divest
    -0.71
     scams
    -0.70
     NGO
    -0.69
     extraction
    -0.69
    bil
    -0.68
    arat
    -0.68
    mint
    -0.66
     occupations
    -0.66
    POSITIVE LOGITS
    Coach
    1.21
     coach
    1.12
    NBA
    1.12
     Packers
    1.06
     Coach
    1.06
     teammate
    1.05
    ESPN
    1.03
    Football
    1.01
     preseason
    1.00
    ichick
    1.00
    Activations Density 0.287%

    No Known Activations