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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. 2-RES-JB
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    Explanations

    references to the country "Finland."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Finland and related identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rooms
    -0.80
    <<
    -0.76
    helle
    -0.72
    pse
    -0.69
    thumbnails
    -0.67
    ################
    -0.66
    Parts
    -0.64
    story
    -0.64
    imentary
    -0.62
    eter
    -0.61
    POSITIVE LOGITS
     Finland
    1.10
     Helsinki
    1.06
     Finnish
    0.86
    ipeg
    0.86
    istani
    0.81
    £ı
    0.81
    inki
    0.78
     Paulo
    0.77
    ä
    0.76
    Äĩ
    0.75
    Activations Density 0.007%

    No Known Activations