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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. 1967
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    INDEX
    Explanations

    instances where companies are mentioned in the context of business operations, regulations, and economic activities

    oai_token-act-pair · gpt-3.5-turbo

    Discussions about corporate responsibility and diversity initiatives within companies

    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
    REDACTED
    -0.77
    ultimate
    -0.71
     coma
    -0.71
    rome
    -0.69
     Morty
    -0.68
     remem
    -0.68
     Assass
    -0.64
     Kills
    -0.63
     Resurrection
    -0.63
    worms
    -0.62
    POSITIVE LOGITS
     profit
    1.21
     profitability
    1.21
     profits
    1.13
     IPO
    1.13
     profitable
    1.10
     subsidiaries
    1.07
     subcontract
    1.05
     advertise
    1.03
     customers
    1.02
     revenue
    0.99
    Activations Density 0.663%

    No Known Activations