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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. 9-RES-JB
    11. 17062
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    Explanations

    mentions of a specific company, Wal-Mart and variations in its name

    oai_token-act-pair · gpt-3.5-turbo

    mentions and references to Walmart

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.81
     Darkness
    -0.71
    IBLE
    -0.68
     Ake
    -0.63
     familiar
    -0.62
     INF
    -0.62
     appropriation
    -0.62
     Osiris
    -0.62
    hift
    -0.61
     Ascension
    -0.61
    POSITIVE LOGITS
    nut
    1.28
    cott
    1.18
    nuts
    1.15
    vey
    0.98
    cohol
    0.95
    adr
    0.95
    pole
    0.93
    ther
    0.93
    Mart
    0.93
    stad
    0.92
    Activations Density 0.021%

    No Known Activations