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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the word "dynamite"

    oai_token-act-pair · gpt-3.5-turbo

    references to the film "Napoleon Dynamite" and related terms

    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
    EVA
    -0.81
    giving
    -0.76
    WAYS
    -0.75
    Keefe
    -0.74
    WER
    -0.72
    Ware
    -0.71
    mare
    -0.70
    Contact
    -0.68
    boro
    -0.67
    sburgh
    -0.66
    POSITIVE LOGITS
    ynam
    1.21
     Dynam
    1.03
    ically
    1.01
    ical
    1.00
     dynam
    0.99
    ite
    0.99
    ometer
    0.91
    minist
    0.90
    icity
    0.88
    ascus
    0.88
    Activations Density 0.008%

    No Known Activations