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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. 1-RES-JB
    11. 14187
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    Explanations

    mentions of various products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of consumer products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ño
    -0.68
     Shore
    -0.68
    FIN
    -0.67
     Stud
    -0.64
     Cavern
    -0.64
    awar
    -0.64
    roe
    -0.64
     Peninsula
    -0.63
     Greenland
    -0.63
     Bay
    -0.60
    POSITIVE LOGITS
     products
    1.29
    Products
    1.06
    hops
    0.94
     product
    0.94
    afety
    0.90
    wana
    0.90
    products
    0.88
    Product
    0.87
    umers
    0.85
     packaging
    0.84
    Activations Density 0.019%

    No Known Activations