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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. 0-RES-JB
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    Explanations

    phrases related to technology frameworks

    oai_token-act-pair · gpt-3.5-turbo

    references to frameworks in various contexts, particularly in technology and development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    -0.65
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    -0.64
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    -0.63
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    POSITIVE LOGITS
     framework
    3.53
     frameworks
    2.55
     Framework
    2.45
    framework
    2.30
    Fram
    1.58
     context
    1.33
     paradigm
    1.32
     blueprint
    1.29
     mechanism
    1.29
     foundation
    1.22
    Activations Density 0.017%

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