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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. 5-RES-JB
    6. 13691
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of Google Maps and related geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nodd
    -0.58
    Ire
    -0.55
    ":[
    -0.50
     shenan
    -0.49
    ividual
    -0.45
     nep
    -0.45
    eworthy
    -0.44
     confir
    -0.44
     Gree
    -0.44
    bilt
    -0.44
    POSITIVE LOGITS
    )</
    0.59
     Abandon
    0.49
     *)
    0.46
    othe
    0.45
    chwitz
    0.44
    ategor
    0.44
     Strategies
    0.44
     Converted
    0.44
    DragonMagazine
    0.43
     FIGHT
    0.42
    Activations Density 0.888%

    No Known Activations