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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. 0-RES-JB
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    Explanations

    mentions of the word "Merc" with differing activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Merc" and its variants, likely indicating a focus on a specific entity or subject related to that term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADA
    -0.73
     disability
    -0.69
    oda
    -0.67
    nai
    -0.67
    ney
    -0.65
     SD
    -0.62
    dress
    -0.61
    hak
    -0.61
     ..............
    -0.61
    rogram
    -0.61
    POSITIVE LOGITS
     Merc
    4.38
    Merc
    2.86
     merc
    2.49
     Mercenary
    1.34
     Merchants
    1.22
    Mer
    1.21
     mercenary
    1.13
     Rog
    1.13
     Mercury
    1.12
     mercenaries
    1.07
    Activations Density 0.017%

    No Known Activations