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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. 3-RES-JB
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    Explanations

    references to the names "Annie" and "Katrina"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific financial entities, particularly those related to mortgage companies and individuals associated with them

    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
    abulary
    -0.77
    icts
    -0.71
     skelet
    -0.68
    iction
    -0.68
    Þ
    -0.67
    icum
    -0.65
    ymm
    -0.65
    usalem
    -0.65
     semantics
    -0.63
    lain
    -0.62
    POSITIVE LOGITS
     Mae
    1.25
    --+
    0.98
    annie
    0.96
     Freddie
    0.73
    !--
    0.71
     Marvin
    0.70
    bee
    0.69
    kees
    0.66
    \'
    0.65
    metry
    0.64
    Activations Density 0.019%

    No Known Activations