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

    the term "nominal" used in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to nominal values in economic contexts

    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
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    No Comments

    Negative Logits
    velt
    -0.82
    draw
    -0.73
    upon
    -0.70
    ebook
    -0.70
    RAFT
    -0.68
    Golden
    -0.68
    Feed
    -0.68
    gans
    -0.67
    Redd
    -0.66
    RAW
    -0.66
    POSITIVE LOGITS
     nominal
    0.97
    ized
    0.91
    etheless
    0.88
    ominated
    0.87
    ised
    0.87
    ascus
    0.86
    istic
    0.83
     occas
    0.83
    izable
    0.82
    izations
    0.81
    Activations Density 0.005%

    No Known Activations