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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. 9662
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    Explanations

    references to cakes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cake

    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
    rg
    -0.75
    etimes
    -0.72
     Sto
    -0.66
    Len
    -0.64
    recated
    -0.63
    adic
    -0.63
     Siem
    -0.62
    igor
    -0.62
    vid
    -0.62
    arios
    -0.62
    POSITIVE LOGITS
     cake
    4.02
     Cake
    2.87
     cakes
    2.82
    cake
    2.46
    cakes
    2.00
     pudding
    1.56
     dessert
    1.56
    ecake
    1.55
     desserts
    1.46
     icing
    1.43
    Activations Density 0.020%

    No Known Activations