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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. 7058
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    Explanations

    mentions of individuals related to religious roles or institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to priests

    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
    DonaldTrump
    -0.81
    ilater
    -0.80
    BAT
    -0.77
    iqueness
    -0.72
    oday
    -0.71
    OX
    -0.69
    amura
    -0.66
     Wonderland
    -0.65
     Guarant
    -0.65
    topic
    -0.65
    POSITIVE LOGITS
    esses
    1.54
    ess
    1.11
     priests
    1.01
     priest
    1.01
    mares
    0.85
     ordained
    0.83
    hood
    0.83
    ly
    0.80
    osate
    0.79
    eur
    0.77
    Activations Density 0.018%

    No Known Activations