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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. 3596
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    Explanations

    descriptions of various narratives and stories

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe a story or narrative structure

    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
    hirt
    -0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
    ktop
    -0.71
    jab
    -0.70
    chwitz
    -0.69
    ceive
    -0.68
    auga
    -0.67
    hesda
    -0.66
    ipers
    -0.66
    reau
    -0.65
    POSITIVE LOGITS
     unfolding
    0.85
     Silence
    0.78
     unsolved
    0.75
     unfold
    0.73
     Mayhem
    0.73
     Narr
    0.71
     Origins
    0.70
     Dram
    0.70
     omission
    0.69
     Mysteries
    0.68
    Activations Density 0.288%

    No Known Activations