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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21360
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    Explanations

    phrases related to lists or categories

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.63
    ENGTH
    -0.60
    ¥ŀ
    -0.59
    ¶ħ
    -0.56
     unden
    -0.55
    LEASE
    -0.52
    ãĥ´
    -0.51
    ANGE
    -0.49
     Establishment
    -0.48
    levision
    -0.47
    POSITIVE LOGITS
     or
    1.71
    Or
    1.49
    or
    1.39
     Or
    1.32
     OR
    1.20
     etc
    1.12
     whichever
    1.10
    etc
    1.04
    Either
    1.02
     Either
    0.95
    Activations Density 0.318%

    No Known Activations