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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. 2-RES-JB
    11. 7593
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    Explanations

    phrases containing slogans or catchphrases

    oai_token-act-pair · gpt-3.5-turbo

    references to slogans and mottos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.69
    ighth
    -0.66
    astern
    -0.66
     Neighbor
    -0.65
    nesota
    -0.62
    lad
    -0.61
    oles
    -0.60
    ativity
    -0.60
    owship
    -0.59
    ------------------------------------------------
    -0.59
    POSITIVE LOGITS
     slogan
    1.34
     slogans
    1.33
     proclaiming
    0.86
     goodbye
    0.79
    selves
    0.73
     banners
    0.73
     loudly
    0.70
    terday
    0.70
    etsu
    0.69
     denouncing
    0.68
    Activations Density 0.004%

    No Known Activations