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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. 1343
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    Explanations

    words related to alcoholic beverages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cocktails and sushi

    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
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    No Comments

    Negative Logits
    \\\\\\\\
    -0.95
    fulness
    -0.92
    leigh
    -0.87
    fully
    -0.87
    laughter
    -0.85
    ici
    -0.85
    quartered
    -0.83
    child
    -0.83
    missions
    -0.83
    eto
    -0.81
    POSITIVE LOGITS
    allery
    0.81
     waitress
    0.79
     jumper
    0.69
     Alonso
    0.67
    lla
    0.67
     tops
    0.65
     Bowie
    0.65
     suite
    0.65
     lounge
    0.65
     playlist
    0.65
    Activations Density 0.146%

    No Known Activations