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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. 3-RES-JB
    11. 17157
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    INDEX
    Explanations

    words related to literature and literary themes

    oai_token-act-pair · gpt-3.5-turbo

    references to literary concepts and discussions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    lain
    -0.92
    Downloadha
    -0.83
    akening
    -0.82
    rals
    -0.82
    ned
    -0.78
    xon
    -0.72
    beam
    -0.71
    ls
    -0.71
    alin
    -0.68
    ldon
    -0.66
    POSITIVE LOGITS
     literary
    1.03
     fiction
    1.02
     manuscripts
    0.86
     novels
    0.86
     Literary
    0.83
     laureate
    0.83
     writers
    0.81
     Fiction
    0.80
     Writers
    0.78
     genres
    0.78
    Activations Density 0.010%

    No Known Activations