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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. 4868
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    oai_token-act-pair · gpt-3.5-turbo
    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
    ptin
    -0.73
    plin
    -0.71
    pta
    -0.69
    inventoryQuantity
    -0.65
    saf
    -0.65
    assium
    -0.63
    BILITIES
    -0.62
     consulted
    -0.61
    otle
    -0.61
    Dist
    -0.60
    POSITIVE LOGITS
     Saturday
    1.54
     Thursday
    1.53
     Wednesday
    1.52
     Tuesday
    1.51
     Monday
    1.50
     Sunday
    1.50
     Friday
    1.49
     July
    1.46
     November
    1.45
     June
    1.44
    Activations Density 0.114%

    No Known Activations