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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. 3-RES-JB
    11. 3961
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    Explanations

    phrases related to legal or medical matters

    oai_token-act-pair · gpt-3.5-turbo

    numerical references to box office earnings of films

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uly
    -0.60
     quir
    -0.59
     tyr
    -0.59
     purse
    -0.57
     pit
    -0.56
     scourge
    -0.56
     corrid
    -0.55
     mur
    -0.54
     quickest
    -0.54
     footing
    -0.54
    POSITIVE LOGITS
     Additionally
    0.99
     Needless
    0.97
     However
    0.94
     Alternatively
    0.92
     Furthermore
    0.92
     Moreover
    0.91
     Similarly
    0.91
     Nevertheless
    0.90
     Conversely
    0.90
     Likewise
    0.90
    Activations Density 1.421%

    No Known Activations