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

    mentions of the location "Oregon"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Oregon

    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
    hare
    -0.78
    maid
    -0.77
    creen
    -0.72
     reckon
    -0.69
     seiz
    -0.67
    bourg
    -0.66
    iour
    -0.64
    pter
    -0.64
    bler
    -0.64
    Ö¼
    -0.62
    POSITIVE LOGITS
     Ducks
    0.97
    ians
    0.94
     Timbers
    0.94
     Oregon
    0.90
    sylvania
    0.88
    icut
    0.88
    Oregon
    0.86
    ian
    0.84
    icum
    0.81
     Trail
    0.79
    Activations Density 0.040%

    No Known Activations