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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. 20654
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    Explanations

    phrases related to grouping or categorizing items

    oai_token-act-pair · gpt-3.5-turbo

    instances of categorization or grouping of items or ideas

    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
    gery
    -0.78
    ander
    -0.68
    taker
    -0.67
    thel
    -0.65
    iren
    -0.65
    ima
    -0.64
    eton
    -0.63
    wash
    -0.62
    ola
    -0.61
    gging
    -0.60
    POSITIVE LOGITS
     cohesive
    1.09
     neatly
    0.98
     geographically
    0.95
     chronological
    0.95
     separ
    0.93
     disparate
    0.91
     coherent
    0.90
     manageable
    0.90
     tidy
    0.88
     fragmented
    0.86
    Activations Density 0.568%

    No Known Activations