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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. 9-RES-JB
    11. 23471
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    Explanations

    political figures or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people, places, and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !.
    -0.53
    ;;
    -0.50
    .",
    -0.48
    .#
    -0.46
    _.
    -0.46
     *.
    -0.46
    *.
    -0.45
    :,
    -0.44
    ????????
    -0.44
    heid
    -0.43
    POSITIVE LOGITS
     could
    0.66
     has
    0.62
     maintains
    0.61
     began
    0.61
     relies
    0.61
     underwent
    0.60
     retains
    0.60
     had
    0.59
     fared
    0.59
     will
    0.58
    Activations Density 1.175%

    No Known Activations