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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 7874
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    Explanations

    references to software applications, particularly Microsoft Excel and Microsoft PowerPoint

    oai_token-act-pair · gpt-3.5-turbo

    references to Microsoft Excel and related data management tools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonic
    -0.75
    ħĭ
    -0.74
    ork
    -0.73
    §
    -0.72
    req
    -0.72
    âķIJâķIJ
    -0.70
    ãĤ´ãĥ³
    -0.69
    Merit
    -0.68
    Ń
    -0.67
    ouls
    -0.67
    POSITIVE LOGITS
     spreadsheet
    1.02
     Excel
    0.96
    sheets
    0.96
    sheet
    0.94
    mers
    0.87
    vier
    0.85
     Carlo
    0.85
    ulative
    0.84
    Spread
    0.75
     PowerPoint
    0.74
    Activations Density 0.031%

    No Known Activations