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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to desert locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "desert."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPA
    -0.76
    enny
    -0.76
    OA
    -0.75
    aird
    -0.74
     largeDownload
    -0.69
    yright
    -0.68
    inventoryQuantity
    -0.68
    ACA
    -0.68
    ascript
    -0.67
    NA
    -0.67
    POSITIVE LOGITS
     desert
    1.13
     Desert
    0.93
     deserts
    0.92
     sands
    0.83
    fires
    0.81
     wasteland
    0.80
    urous
    0.79
     canyon
    0.78
    ashtra
    0.78
     buffalo
    0.76
    Activations Density 0.011%

    No Known Activations