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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. 6-RES-JB
    11. 11886
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    Explanations

    phrases related to large numbers of people

    oai_token-act-pair · gpt-3.5-turbo

    references to large groups of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iban
    -0.66
    agate
    -0.66
    inventoryQuantity
    -0.66
     hegemony
    -0.65
    Interstitial
    -0.63
    shit
    -0.63
     Correspond
    -0.62
    mentioned
    -0.62
    nam
    -0.61
    ebin
    -0.60
    POSITIVE LOGITS
     ILCS
    0.94
     kilometers
    0.80
     thousands
    0.79
    ourcing
    0.77
     hectares
    0.76
    ourced
    0.76
     miles
    0.73
    aires
    0.73
    ovych
    0.73
     kilometres
    0.73
    Activations Density 0.029%

    No Known Activations