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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. 0-RES-JB
    11. 11765
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    Explanations

    phrases related to banking or financial institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to banking and financial systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imus
    -0.78
     Spur
    -0.73
    âĪ
    -0.73
    ---------
    -0.73
    eman
    -0.70
     Ake
    -0.68
    tons
    -0.67
    nette
    -0.66
    endum
    -0.66
    âĿ
    -0.66
    POSITIVE LOGITS
     banking
    3.72
     Banking
    2.84
     banks
    2.15
     bankers
    2.14
     bank
    2.05
     banker
    1.88
    bank
    1.66
     Banks
    1.59
     Bank
    1.58
    banks
    1.55
    Activations Density 0.013%

    No Known Activations