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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of the word "men" that are relevant to a particular context such as organizations, rights, and titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Men" in various contexts

    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
    inventoryQuantity
    -0.90
    poke
    -0.70
     electron
    -0.68
    orry
    -0.67
    inion
    -0.66
    0000000000000000
    -0.66
     sponge
    -0.65
    ellation
    -0.65
    ework
    -0.65
    ted
    -0.64
    POSITIVE LOGITS
     Men
    3.72
    Men
    2.77
     MEN
    2.26
     men
    2.12
    MEN
    1.87
     Women
    1.82
     Mens
    1.69
     Males
    1.67
    men
    1.67
     Male
    1.63
    Activations Density 0.017%

    No Known Activations