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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. 0-RES-JB
    11. 2207
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    Explanations

    phrases expressing preference or fondness towards something

    oai_token-act-pair · gpt-3.5-turbo

    references to favorites across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alys
    -0.87
    ammers
    -0.72
     signalling
    -0.69
    edin
    -0.69
    edi
    -0.68
     apologise
    -0.68
     Barbar
    -0.67
    leys
    -0.67
     NHS
    -0.67
    gers
    -0.66
    POSITIVE LOGITS
     favorite
    3.89
     favourite
    3.12
     favorites
    3.04
    favorite
    2.55
     Favorite
    2.54
     favourites
    2.21
    Favorite
    1.95
     favored
    1.70
     preferred
    1.54
     darling
    1.48
    Activations Density 0.013%

    No Known Activations