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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. 2-RES-JB
    11. 19548
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    Explanations

    names of persons or organizations

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Pearson."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.89
    ptions
    -0.83
    Gaza
    -0.67
    estern
    -0.67
    ources
    -0.65
    ictions
    -0.65
    FAULT
    -0.64
    ktop
    -0.63
    ãĥ´
    -0.63
    rontal
    -0.62
    POSITIVE LOGITS
     Pearson
    1.08
    weather
    0.92
     Patterson
    0.77
     mosqu
    0.70
    ially
    0.69
    endale
    0.69
    emouth
    0.68
     commer
    0.66
     Mills
    0.66
    gow
    0.66
    Activations Density 0.005%

    No Known Activations