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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 3325
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    Explanations

    verbs related to serving food or drinks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of serving, particularly in food and customer service contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chase
    -0.67
    vu
    -0.67
    ality
    -0.65
    illion
    -0.63
    gradation
    -0.62
    razil
    -0.61
    00007
    -0.60
    peria
    -0.59
     Nanto
    -0.59
     converter
    -0.58
    POSITIVE LOGITS
     meals
    0.98
     drinks
    0.87
     beverages
    0.85
     alcohol
    0.78
     breakfast
    0.76
    maid
    0.74
     snacks
    0.74
    umes
    0.72
     chilled
    0.72
    entious
    0.72
    Activations Density 0.031%

    No Known Activations