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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. 3-RES-JB
    11. 7007
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    INDEX
    Explanations

    finance-related terms and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific brands, companies, or entities mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.68
    oiler
    -0.63
     STEP
    -0.62
     nap
    -0.62
     RIS
    -0.61
     Vive
    -0.61
     blur
    -0.60
     guiActive
    -0.59
     defense
    -0.59
     skilled
    -0.58
    POSITIVE LOGITS
    elaide
    0.95
    west
    0.95
    endment
    0.93
    psey
    0.88
    ventory
    0.86
    xon
    0.85
    ibrary
    0.83
    Chem
    0.82
    Games
    0.81
    swers
    0.80
    Activations Density 0.310%

    No Known Activations