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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. 1-RES-JB
    11. 18739
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    INDEX
    Explanations

    mentions of interns

    oai_token-act-pair · gpt-3.5-turbo

    references to interns or internment-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gging
    -0.79
    ku
    -0.75
    DIV
    -0.71
    Reply
    -0.70
    foot
    -0.66
    ffff
    -0.65
    gged
    -0.65
    KA
    -0.63
    ggies
    -0.63
     è£ıè¦ļéĨĴ
    -0.62
    POSITIVE LOGITS
     intern
    1.38
    ships
    1.15
     interns
    1.13
    rador
    0.88
     Intern
    0.86
    zona
    0.86
    holm
    0.85
    intern
    0.85
    ials
    0.81
    ounced
    0.75
    Activations Density 0.006%

    No Known Activations