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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of food items typically found in a meal, particularly highlighting instances of 'salad'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of salads

    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
     Fundamental
    -0.79
    yrights
    -0.74
    TPS
    -0.70
    WB
    -0.70
     FE
    -0.69
    FACE
    -0.68
     Endurance
    -0.66
    tons
    -0.66
    tm
    -0.66
     Universal
    -0.66
    POSITIVE LOGITS
     salad
    3.58
     salads
    3.07
     Salad
    2.83
     lettuce
    1.92
     sushi
    1.44
     spinach
    1.41
     soup
    1.40
     kale
    1.40
     pasta
    1.33
     buffet
    1.29
    Activations Density 0.017%

    No Known Activations