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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. 10-RES-JB
    11. 5863
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    Explanations

    proper nouns or names of people, places, or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
    actionDate
    -0.71
    soDeliveryDate
    -0.70
     Saying
    -0.70
     Pigs
    -0.67
    soType
    -0.64
    ASE
    -0.64
    KO
    -0.62
    joining
    -0.61
     liking
    -0.61
     messing
    -0.60
    POSITIVE LOGITS
     opted
    1.13
     nevertheless
    1.12
     resorted
    1.01
     relies
    1.00
     boasts
    1.00
     seeks
    0.96
     strives
    0.96
     embodies
    0.96
     struggled
    0.95
     nonetheless
    0.95
    Activations Density 0.327%

    No Known Activations