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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. 11-RES-JB
    11. 1476
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    Explanations

    mention of banks and banking activities

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to banking and financial practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vacc
    -0.80
    oute
    -0.80
     wagon
    -0.77
     Cao
    -0.75
    etry
    -0.72
     Rockets
    -0.71
     Spock
    -0.71
    Cos
    -0.71
     Vance
    -0.70
     hunts
    -0.70
    POSITIVE LOGITS
     banks
    2.19
     Bank
    2.15
    Bank
    2.15
     bank
    2.14
     banking
    2.12
     Banking
    2.10
     Banks
    2.04
    bank
    2.01
     bankers
    1.93
     HSBC
    1.92
    Activations Density 0.540%

    No Known Activations