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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. 22626
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    Explanations

    texts discussing programming concepts and practices, especially related to memory management and syntax analysis

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to programming and computer science

    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
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    No Comments

    Negative Logits
    76561
    -0.82
     Photographer
    -0.74
     flyer
    -0.73
     Depot
    -0.73
     Household
    -0.72
    cffffcc
    -0.69
     Shepard
    -0.69
    MSN
    -0.67
     Evening
    -0.67
    Featured
    -0.67
    POSITIVE LOGITS
     abstraction
    1.25
     syntax
    1.20
     APIs
    1.14
     semantics
    1.13
     algorithms
    1.12
     parsing
    1.09
     invari
    1.08
     implementations
    1.08
     backend
    1.06
     initialization
    1.06
    Activations Density 0.344%

    No Known Activations