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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. 9-RES-JB
    11. 18128
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    Explanations

    punctuation marks in the form of commas

    oai_token-act-pair · gpt-3.5-turbo

    the word "So" at the beginning of 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
    taboola
    -0.78
    MpServer
    -0.77
    SourceFile
    -0.75
    ãĤ¼ãĤ¦ãĤ¹
    -0.69
    ICT
    -0.69
    Beck
    -0.69
    Angelo
    -0.64
    interstitial
    -0.64
    bryce
    -0.64
    ForgeModLoader
    -0.63
    POSITIVE LOGITS
     yeah
    1.36
     yes
    1.14
     congratulations
    1.01
     uh
    0.95
     um
    0.95
     why
    0.93
     congr
    0.91
     imagine
    0.91
     please
    0.88
     suppose
    0.87
    Activations Density 0.067%

    No Known Activations