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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6946
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    INDEX
    Explanations

    business-related terms or activities such as financial transactions, corporate competition, and regulations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to economic actions and corporate behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     coma
    -0.78
     "$:/
    -0.72
     flashback
    -0.67
     Assass
    -0.66
     flashbacks
    -0.64
     reminis
    -0.63
    atsuki
    -0.62
     Gallup
    -0.62
     Nuggets
    -0.62
     poem
    -0.61
    POSITIVE LOGITS
     profitable
    1.16
     profitability
    1.11
     lucrative
    1.06
     profits
    1.02
     profit
    1.01
     customers
    1.01
     themselves
    0.97
     suppliers
    0.96
     subsidiaries
    0.93
     competitors
    0.93
    Activations Density 0.991%

    No Known Activations