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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. 11988
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    Explanations

    phrases related to performance or competition

    oai_token-act-pair · gpt-3.5-turbo

    repeated use of commas in sentences

    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
    Associated
    -0.82
    ãĤ´ãĥ³
    -0.79
    Elsewhere
    -0.71
     guiActiveUn
    -0.70
    Detailed
    -0.70
    SourceFile
    -0.68
    Continue
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    ãĥ¥
    -0.63
    Similarly
    -0.62
    MpServer
    -0.61
    POSITIVE LOGITS
     yeah
    1.25
     somew
    1.24
     I
    1.09
     we
    1.04
     nobody
    1.02
     yes
    0.99
     whenever
    0.98
     everybody
    0.93
     there
    0.91
     wow
    0.90
    Activations Density 0.361%

    No Known Activations