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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. 2-RES-JB
    11. 4359
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    Explanations

    references to a specific mealtime - lunch

    oai_token-act-pair · gpt-3.5-turbo

    references to "lunch" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oral
    -0.74
    unknown
    -0.68
    Constructed
    -0.68
    vernment
    -0.65
    eff
    -0.65
     extrap
    -0.64
     Fundamental
    -0.64
     governmental
    -0.64
    Downloadha
    -0.64
    ignty
    -0.63
    POSITIVE LOGITS
    eteria
    1.09
     lunch
    1.05
     Lunch
    1.02
    bag
    0.94
     meals
    0.88
     meal
    0.87
    wich
    0.87
    bowl
    0.83
     breakfast
    0.83
    bags
    0.83
    Activations Density 0.005%

    No Known Activations