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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. 9-RES-JB
    11. 17489
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    Explanations

    country names, specifically Brazil

    oai_token-act-pair · gpt-3.5-turbo

    references to Brazil

    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
    WARE
    -0.73
    ################
    -0.73
    ################################
    -0.73
    bilt
    -0.73
    dfx
    -0.69
    sworth
    -0.66
    ovie
    -0.65
    obyl
    -0.65
    ORE
    -0.63
    ********************************
    -0.62
    POSITIVE LOGITS
    ians
    1.28
     Jiu
    1.07
    ian
    0.99
    ienne
    0.94
     Portuguese
    0.91
     Paulo
    0.84
    ican
    0.81
    iens
    0.78
    iang
    0.76
    inho
    0.76
    Activations Density 0.031%

    No Known Activations