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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. 12-RES-JB
    11. 3608
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    Explanations

    words related to cooking techniques and ingredients, particularly focusing on the action of steaming and garnishes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to steak or related culinary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     viewing
    -0.72
     Spending
    -0.72
     misinformation
    -0.71
     Competitive
    -0.67
     affiliation
    -0.66
     Boo
    -0.66
     uncle
    -0.66
     behavi
    -0.65
     closing
    -0.65
     goodbye
    -0.65
    POSITIVE LOGITS
    ampunk
    1.88
    aming
    1.48
    amed
    1.48
    ppe
    1.35
    ams
    1.32
    amer
    1.28
    aks
    1.23
    eping
    1.23
    pp
    1.19
    akh
    1.17
    Activations Density 0.021%

    No Known Activations