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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. 3-RES-JB
    11. 15815
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    Explanations

    words related to specific names or entities, particularly those with the abbreviation "RG" and names like Sioux, Vishnu, and Gorkha

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific organizations or historical figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glass
    -0.74
    isphere
    -0.73
     Hitman
    -0.72
    TPPStreamerBot
    -0.72
    inventoryQuantity
    -0.70
     Barclays
    -0.64
    earance
    -0.62
    essage
    -0.61
    iden
    -0.61
    icol
    -0.61
    POSITIVE LOGITS
     Kut
    1.11
    sie
    1.11
    vy
    0.82
    allery
    0.79
    rily
    0.77
    uling
    0.75
    --+
    0.73
    hma
    0.72
    ging
    0.71
    iple
    0.70
    Activations Density 0.025%

    No Known Activations