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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18985
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    INDEX
    Explanations

    mentions of file encryption and data security

    oai_token-act-pair · gpt-3.5-turbo

    references to digital processes and actions in technical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    technology
    -0.73
    ulture
    -0.71
     hobbies
    -0.68
    Technology
    -0.66
     corps
    -0.63
     recreational
    -0.63
     fundraising
    -0.62
    Discussion
    -0.62
     Hogan
    -0.61
     instit
    -0.61
    POSITIVE LOGITS
     automatically
    1.24
     cached
    1.15
     unchanged
    1.11
     correctly
    1.07
     instantly
    1.01
     readable
    1.00
     unaffected
    0.97
     overwrite
    0.95
     untouched
    0.94
    mediately
    0.91
    Activations Density 0.407%

    No Known Activations