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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21283
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    Explanations

    proper nouns, potentially associated with places or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.75
    izoph
    -0.69
    Quantity
    -0.66
    twitch
    -0.65
    bearing
    -0.61
    Evil
    -0.60
    ãĤ¤ãĥĪ
    -0.60
     fashionable
    -0.60
    Ò
    -0.60
    Soul
    -0.59
    POSITIVE LOGITS
     declined
    1.41
     meanwhile
    1.37
     also
    1.32
     spokeswoman
    1.26
     spokesman
    1.22
     disagreed
    1.20
     echoed
    1.18
     countered
    1.16
     disagrees
    1.11
     apologized
    1.11
    Activations Density 0.598%

    No Known Activations