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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. 11-RES-JB
    6. 8744
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to operational efficiency and strategic management in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     unlucky
    -0.76
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    -0.71
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    -0.71
     strange
    -0.71
     Poe
    -0.70
     Mour
    -0.70
     Vanity
    -0.69
    POSITIVE LOGITS
     initiatives
    1.45
     strategies
    1.40
     frameworks
    1.31
     objectives
    1.27
     processes
    1.24
     architectures
    1.21
     metrics
    1.19
     roadmap
    1.16
     assessments
    1.15
     management
    1.14
    Activations Density 0.363%

    No Known Activations