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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. 7-RES-JB
    11. 10897
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    INDEX
    Explanations

    terms related to bottling or containers like bottles

    oai_token-act-pair · gpt-3.5-turbo

    references to bottlenecks or competitive limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITED
    -0.82
    CVE
    -0.73
    è¦ļéĨĴ
    -0.70
    ISSION
    -0.68
    Shar
    -0.67
    finder
    -0.66
    HCR
    -0.65
     Defenders
    -0.65
    rely
    -0.65
    itably
    -0.64
    POSITIVE LOGITS
    leneck
    1.36
    oms
    1.20
    ewater
    0.98
    yp
    0.95
    oming
    0.90
    Bott
    0.88
    ages
    0.88
    levard
    0.88
    etooth
    0.87
    iffs
    0.87
    Activations Density 0.042%

    No Known Activations