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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
    11. 6441
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    Explanations

    food ingredients, especially bacon

    oai_token-act-pair · gpt-3.5-turbo
    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
    ept
    -0.81
     Fundamental
    -0.79
     Scientology
    -0.70
     Cheong
    -0.68
     Occupations
    -0.67
    oric
    -0.65
     Semin
    -0.65
     Volunte
    -0.63
    EMBER
    -0.62
    inen
    -0.62
    POSITIVE LOGITS
    halla
    1.24
     bacon
    1.01
     toast
    0.99
    netflix
    0.99
    nect
    0.98
     Bacon
    0.98
     grease
    0.98
    wallet
    0.87
    fruit
    0.87
     chees
    0.82
    Activations Density 0.012%

    No Known Activations