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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
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    Explanations

    references to the country "Bhutan" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Bhutan

    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
    eers
    -0.94
    PORT
    -0.86
    eer
    -0.72
     Grizzlies
    -0.70
    eering
    -0.69
     Eisen
    -0.68
    BALL
    -0.68
     Wolves
    -0.67
     Fedora
    -0.67
    ãĥ¼ãĥĨ
    -0.65
    POSITIVE LOGITS
    awan
    1.09
    omes
    1.03
    oning
    1.02
    aji
    1.01
    orns
    0.98
    ulk
    0.97
    reath
    0.97
    enn
    0.97
    utan
    0.96
    osph
    0.96
    Activations Density 0.015%

    No Known Activations