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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. 1-RES-JB
    11. 23253
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    Explanations

    keywords related to software development, particularly those related to program execution and memory allocation, such as 'stack' and 'traces'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stack" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Voc
    -0.64
    doms
    -0.64
     annexed
    -0.64
     Lov
    -0.63
    gyn
    -0.63
    gan
    -0.62
     Arkham
    -0.61
     Predators
    -0.61
    nn
    -0.59
     Gim
    -0.59
    POSITIVE LOGITS
     stacks
    1.30
     stack
    1.25
    stack
    1.19
    Stack
    0.95
     overflow
    0.91
    ilege
    0.90
    tops
    0.83
    rait
    0.79
    pipe
    0.78
    utterstock
    0.78
    Activations Density 0.007%

    No Known Activations