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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. 3699
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    INDEX
    Explanations

    mentions of significant events or developments in different sectors such as politics, economy, and sports

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of emotions, particularly surprise and elation

    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
    ilial
    -0.60
    ãĥĺ
    -0.59
    ĨĴ
    -0.58
     hangs
    -0.58
    ilus
    -0.56
    enegger
    -0.56
    entric
    -0.55
    ELY
    -0.55
    ifer
    -0.54
     resides
    -0.54
    POSITIVE LOGITS
     Thursday
    1.18
     Wednesday
    1.18
     Tuesday
    1.16
     yesterday
    1.11
     Monday
    1.10
     Friday
    1.06
     Saturday
    1.00
     Sunday
    0.98
    Thursday
    0.89
     last
    0.85
    Activations Density 1.271%

    No Known Activations