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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
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    Explanations

    mentions of various types of sandwiches

    oai_token-act-pair · gpt-3.5-turbo

    various types of sandwiches

    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
     Wyr
    -0.74
    yrights
    -0.73
     è£ıè¦ļéĨĴ
    -0.71
    growth
    -0.71
    AI
    -0.71
    ci
    -0.69
    autions
    -0.68
    itability
    -0.68
    IGHTS
    -0.66
     Lucius
    -0.66
    POSITIVE LOGITS
     sandwich
    3.60
     sandwiches
    2.97
     Sandwich
    2.56
     burger
    1.87
     snack
    1.59
     salad
    1.54
     taco
    1.54
     soup
    1.35
     Burger
    1.35
     pizza
    1.33
    Activations Density 0.025%

    No Known Activations