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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. 4-RES-JB
    11. 4174
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    Explanations

    words related to tall structures or buildings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of towers

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

    No Comments

    Negative Logits
    ãĤ±
    -0.90
    dit
    -0.80
     Lives
    -0.77
    furt
    -0.75
    vous
    -0.74
    âĸ¬âĸ¬
    -0.73
     Taste
    -0.70
    é»Ĵ
    -0.70
    ãģ¦
    -0.69
     Breed
    -0.68
    POSITIVE LOGITS
     towers
    1.25
     tower
    1.22
    tower
    1.09
     Towers
    0.98
     heights
    0.91
     skysc
    0.88
     crane
    0.87
     erected
    0.86
     blocks
    0.83
     antennas
    0.77
    Activations Density 0.008%

    No Known Activations