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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. 4-RES-JB
    11. 1873
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    Explanations

    proper nouns related to historical and professional contexts

    oai_token-act-pair · gpt-3.5-turbo

    the names of companies and organizations, particularly focusing on consultancy firms and related entities

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

    No Comments

    Negative Logits
    çīĪ
    -0.81
     Baird
    -0.70
     orally
    -0.68
     ///
    -0.67
    ItemTracker
    -0.66
     distortion
    -0.65
    BU
    -0.63
     Lansing
    -0.61
    IRO
    -0.61
    theless
    -0.59
    POSITIVE LOGITS
    aces
    1.12
    acements
    1.05
    inav
    1.02
    idad
    1.02
    itures
    0.99
    etimes
    0.96
    iture
    0.96
    ace
    0.95
    ighters
    0.94
    ees
    0.93
    Activations Density 0.027%

    No Known Activations