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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. 10-RES-JB
    11. 5371
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    Explanations

    mentions of a fleet of vehicles or ships

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of fleets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phrine
    -0.72
    stroke
    -0.70
     Malik
    -0.69
    truth
    -0.66
    cond
    -0.65
    ourke
    -0.64
    tain
    -0.64
     Gott
    -0.62
    ividual
    -0.61
    iate
    -0.59
    POSITIVE LOGITS
    mates
    0.98
     mates
    0.94
    ingly
    0.88
    wide
    0.84
    naire
    0.83
    Fle
    0.82
     deployments
    0.80
    rons
    0.78
     fleet
    0.78
     numbering
    0.76
    Activations Density 0.052%

    No Known Activations