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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. 23942
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    Explanations

    elements of code involving summing or aggregating collections

    oai_token-act-pair · gpt-3.5-turbo

    code structures and operations related to arrays and collections

    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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    POSITIVE LOGITS
     iterator
    1.44
     iter
    1.40
     arrays
    1.31
     tuple
    1.30
    Iterator
    1.27
     sorted
    1.22
    Iter
    1.22
     collections
    1.19
     array
    1.17
    Array
    1.16
    Activations Density 0.223%

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