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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
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    INDEX
    Explanations

    mentions of literature or literary-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to literary themes and elements

    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
    lain
    -0.98
    Downloadha
    -0.82
    rals
    -0.80
    ned
    -0.79
    xon
    -0.79
    akening
    -0.77
    lein
    -0.72
    ls
    -0.68
    beam
    -0.67
    urion
    -0.67
    POSITIVE LOGITS
     fiction
    1.02
     literary
    0.98
     laureate
    0.84
     novels
    0.83
     theatre
    0.81
     inspiration
    0.81
     writers
    0.81
     manuscripts
    0.81
     genres
    0.80
     satire
    0.79
    Activations Density 0.015%

    No Known Activations