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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. 9-RES-JB
    11. 5188
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
     Proceedings
    -0.68
     Presence
    -0.65
     Height
    -0.65
     Hampton
    -0.65
    ĪĴ
    -0.64
    senal
    -0.63
    ĺħ
    -0.62
    DeliveryDate
    -0.60
    POSITIVE LOGITS
    govtrack
    0.68
    DragonMagazine
    0.67
    reddits
    0.66
    interstitial
    0.66
    outube
    0.64
    efficients
    0.64
     Gutenberg
    0.64
    entin
    0.61
    umbn
    0.61
    clipse
    0.59
    Activations Density 0.077%

    No Known Activations