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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. 6-RES-JB
    6. 4265
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    Explanations

    countries or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to Tunisia and Morocco

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -0.87
    croft
    -0.81
    rint
    -0.80
    lasses
    -0.78
    ucl
    -0.76
    effic
    -0.76
    hov
    -0.76
    gling
    -0.73
    owder
    -0.72
    loss
    -0.72
    POSITIVE LOGITS
     Tanz
    0.96
     Tunis
    0.83
     Tunisia
    0.81
    ique
    0.77
    abis
    0.76
     Airways
    0.72
    etta
    0.71
    ophobia
    0.69
    ienne
    0.69
    essa
    0.69
    Activations Density 0.033%

    No Known Activations