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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. 11-RES-JB
    11. 4195
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    INDEX
    Explanations

    prepositions followed by descriptive terms or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating engagement or participation in activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.82
    emort
    -0.69
    eday
    -0.68
    never
    -0.63
    nexpected
    -0.62
    clips
    -0.61
     hindsight
    -0.61
    fetched
    -0.61
    artifacts
    -0.60
    recated
    -0.60
    POSITIVE LOGITS
     Together
    0.61
     TEAM
    0.60
     Customers
    0.59
     agre
    0.59
     companions
    0.58
     arrangement
    0.58
     servant
    0.57
     Europeans
    0.56
     CLIENT
    0.56
     WORK
    0.55
    Activations Density 0.722%

    No Known Activations