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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. 13666
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    Explanations

    dates written in the format "Month day"

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and references to the month of January

    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
     Bearing
    -0.68
    puff
    -0.68
     manual
    -0.66
    ropolitan
    -0.65
    Reviewer
    -0.65
    cular
    -0.64
     diaper
    -0.63
     Flavoring
    -0.62
     diapers
    -0.61
    LLOW
    -0.61
    POSITIVE LOGITS
    uary
    1.15
    itor
    1.11
    vier
    1.05
    itors
    1.02
    ice
    0.90
    esville
    0.89
    owitz
    0.89
    ocide
    0.88
    eway
    0.86
    ibel
    0.86
    Activations Density 0.011%

    No Known Activations