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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. 16527
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    Explanations

    references to literary and storytelling devices, specifically focusing on the concept of "tropes" and "clichés."

    oai_token-act-pair · gpt-3.5-turbo

    references to common narrative themes or clichés, particularly those labeled as "tropes."

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.79
    sterdam
    -0.72
    gan
    -0.72
    brew
    -0.70
    har
    -0.65
    gans
    -0.64
    iew
    -0.64
    bred
    -0.64
    vals
    -0.63
    rencies
    -0.62
    POSITIVE LOGITS
    pmwiki
    1.30
     trope
    1.30
     tropes
    1.24
     clich
    0.86
    witz
    0.75
    ãĤ¼ãĤ¦ãĤ¹
    0.75
    rities
    0.74
    ::::::::
    0.71
     Dracula
    0.71
    oldemort
    0.70
    Activations Density 0.008%

    No Known Activations