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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. 11-RES-JB
    11. 3571
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    Explanations

    words related to stacking or accumulating objects or information

    oai_token-act-pair · gpt-3.5-turbo

    references to accumulation or aggregation

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anian
    -0.71
    otiation
    -0.66
    relations
    -0.65
    schild
    -0.64
    shire
    -0.63
    BRE
    -0.62
    blance
    -0.62
    say
    -0.61
    keeper
    -0.61
    javascript
    -0.59
    POSITIVE LOGITS
     piles
    1.04
     piled
    0.95
     piling
    0.93
     pile
    0.91
     shelves
    0.87
     rubbish
    0.87
     heap
    0.80
     manure
    0.79
     heaviest
    0.79
     garbage
    0.78
    Activations Density 0.091%

    No Known Activations