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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. 1-RES-JB
    11. 2074
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    Explanations

    the word "macro" in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to macroeconomics and macroeconomic models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Guilty
    -0.83
     Grail
    -0.82
     Holmes
    -0.76
     Muse
    -0.71
     Pall
    -0.70
     Flesh
    -0.70
     Valkyrie
    -0.68
     Witch
    -0.68
     Gott
    -0.68
     Stones
    -0.67
    POSITIVE LOGITS
     macro
    1.30
     macros
    1.16
    economic
    1.08
    econom
    1.05
     Macro
    0.95
    cephal
    0.90
    opy
    0.89
    acter
    0.86
    odynam
    0.86
    onomy
    0.86
    Activations Density 0.005%

    No Known Activations