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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. 6-RES-JB
    11. 7131
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    INDEX
    Explanations

    mentions of the word "bucket"

    oai_token-act-pair · gpt-3.5-turbo

    references to containers, particularly buckets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ournal
    -0.94
    uality
    -0.88
     Examiner
    -0.75
    enegger
    -0.73
    agogue
    -0.72
    mercial
    -0.70
    eanor
    -0.70
    egal
    -0.69
    GGGGGGGG
    -0.69
    dfx
    -0.65
    POSITIVE LOGITS
     buckets
    0.95
     bucket
    0.94
    loads
    0.89
    chest
    0.85
    pipe
    0.83
     Rapids
    0.81
     Bucket
    0.80
    mates
    0.78
    ridges
    0.78
     pigeon
    0.74
    Activations Density 0.022%

    No Known Activations