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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. 17392
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    INDEX
    Explanations

    simple concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    the concept of simplicity

    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
     largeDownload
    -0.79
    vance
    -0.72
    âĹ¼
    -0.71
     Experts
    -0.69
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.69
    hips
    -0.65
     vigorously
    -0.65
    MIC
    -0.63
     extensively
    -0.63
    CVE
    -0.62
    POSITIVE LOGITS
    tons
    1.21
    wallet
    1.03
    json
    0.94
    minded
    0.87
     syrup
    0.80
    ified
    0.79
     simple
    0.78
     minded
    0.78
     arithmetic
    0.78
     straightforward
    0.76
    Activations Density 0.017%

    No Known Activations