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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. 11661
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    Explanations

    phrases related to environmental and financial activities/actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant changes or developments

    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
    iple
    -0.88
    rio
    -0.82
    bart
    -0.70
    iece
    -0.70
    robe
    -0.70
    ety
    -0.69
    jured
    -0.69
    uten
    -0.65
    vale
    -0.65
    dden
    -0.64
    POSITIVE LOGITS
     including
    1.03
    Downloadha
    0.96
     namely
    0.95
     aka
    0.95
     thereby
    0.94
     Flavoring
    0.92
     which
    0.90
    channelAvailability
    0.87
     respectively
    0.87
     etc
    0.86
    Activations Density 0.519%

    No Known Activations