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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. 7-RES-JB
    11. 6515
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    Explanations

    phrases that start with "What's more"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "What's interesting."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zie
    -0.75
     Mobil
    -0.74
     Citiz
    -0.73
     unden
    -0.68
     Buckingham
    -0.63
     partnerships
    -0.63
     mathemat
    -0.62
    oting
    -0.61
     Lancaster
    -0.61
     vulner
    -0.60
    POSITIVE LOGITS
    ï¸ı
    0.90
    else
    0.89
    ?]
    0.88
    soever
    0.80
    TPS
    0.78
    Pg
    0.78
    average
    0.77
    sic
    0.74
     happened
    0.74
     happens
    0.74
    Activations Density 0.129%

    No Known Activations