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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. 9-RES-JB
    6. 21211
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    Explanations

    terms related to financial institutions and companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of banks and financial institutions

    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
    ":-
    -0.70
    ":"/
    -0.68
    worldly
    -0.67
    gression
    -0.62
    imester
    -0.62
    :(
    -0.61
    ptoms
    -0.60
    vised
    -0.59
    ERROR
    -0.58
    reatment
    -0.57
    POSITIVE LOGITS
     etc
    1.63
    etc
    1.37
     Seym
    0.93
     and
    0.89
     et
    0.87
     Rhodes
    0.77
     Moroc
    0.76
     Osc
    0.76
     Et
    0.74
     Toledo
    0.73
    Activations Density 0.165%

    No Known Activations