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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    mentions of the retail store "Walmart"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Wal-Mart" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.78
     Dragonbound
    -0.73
    IBLE
    -0.72
     Butterfly
    -0.70
    nces
    -0.70
    OVA
    -0.68
     Ake
    -0.65
     Darkness
    -0.65
    ally
    -0.64
    naire
    -0.63
    POSITIVE LOGITS
    nut
    1.05
    vey
    1.01
    cott
    1.01
    nuts
    0.98
    cohol
    0.89
    stad
    0.88
    adr
    0.87
    ston
    0.86
    ley
    0.85
    nesday
    0.83
    Activations Density 0.014%

    No Known Activations