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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. 1787
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    Explanations

    references to baking

    oai_token-act-pair · gpt-3.5-turbo

    references to baking and related activities

    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
    capacity
    -0.73
    Tele
    -0.71
     Leviathan
    -0.71
    Agg
    -0.71
    ilion
    -0.71
    uras
    -0.70
     Rampage
    -0.70
     Scorpion
    -0.70
    lex
    -0.69
    lp
    -0.69
    POSITIVE LOGITS
     baking
    3.34
     bake
    2.95
     baked
    2.79
     Bake
    2.30
     bakery
    2.06
     baker
    2.00
     oven
    1.70
     cakes
    1.60
     cake
    1.59
     cookies
    1.47
    Activations Density 0.019%

    No Known Activations