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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. 3694
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    INDEX
    Explanations

    phrases related to finance, particularly focusing on bankers and financial institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to bankers and financial professionals

    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
    ended
    -0.72
    alities
    -0.66
    ortion
    -0.66
    Veh
    -0.65
     NRS
    -0.65
    ively
    -0.64
    earing
    -0.64
    Interstitial
    -0.63
    lihood
    -0.63
    veh
    -0.62
    POSITIVE LOGITS
     bankers
    0.81
     sharks
    0.76
     Sachs
    0.76
     banker
    0.73
    creen
    0.71
     Whale
    0.71
     shark
    0.68
    agher
    0.68
    ervatives
    0.66
    esses
    0.66
    Activations Density 0.015%

    No Known Activations