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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
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    Explanations

    specific mentions of the retail store "Walmart"

    oai_token-act-pair · gpt-3.5-turbo

    references to Walmart

    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
    IBLE
    -0.82
     Carbuncle
    -0.70
    nces
    -0.68
    ities
    -0.67
    vernment
    -0.66
     Dragonbound
    -0.66
    naire
    -0.65
     Darkness
    -0.65
    displayText
    -0.65
     Annotations
    -0.64
    POSITIVE LOGITS
    nuts
    0.88
    nesday
    0.87
    nut
    0.86
    cott
    0.84
    stad
    0.81
    ther
    0.79
    vey
    0.79
    wal
    0.79
    Mart
    0.78
    halla
    0.76
    Activations Density 0.004%

    No Known Activations