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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. 3075
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    Explanations

    numerical financial data or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of information and their reliability

    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
     externalToEVAOnly
    -0.76
     Zed
    -0.76
     [|
    -0.71
     treadmill
    -0.69
     punishing
    -0.67
     ç¥ŀ
    -0.67
    quit
    -0.66
     punish
    -0.65
    itan
    -0.65
     wrestle
    -0.64
    POSITIVE LOGITS
     glean
    1.25
     gathered
    1.09
     collected
    0.95
     dossier
    0.91
     analytics
    0.87
     divul
    0.85
     redacted
    0.85
    sheets
    0.85
     dissemin
    0.84
     WikiLeaks
    0.83
    Activations Density 0.402%

    No Known Activations