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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. 23023
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    INDEX
    Explanations

    mentions of regulatory bodies or entities, particularly the word "Commission"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Commission" in various contexts

    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
     Klu
    -0.79
     Kush
    -0.70
     prest
    -0.69
    imm
    -0.69
    vae
    -0.67
    iewicz
    -0.66
     Dharma
    -0.66
    comes
    -0.66
     IMAGES
    -0.66
     foll
    -0.66
    POSITIVE LOGITS
     Commission
    1.08
     commissioners
    0.98
    Commission
    0.95
     Commissioners
    0.93
     Inquiry
    0.87
     Audit
    0.84
     Commissioner
    0.83
     commissions
    0.83
     commission
    0.81
     Headquarters
    0.80
    Activations Density 0.012%

    No Known Activations