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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. 8-RES-JB
    11. 17154
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    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance of paying attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rie
    -0.67
    venge
    -0.65
    iHUD
    -0.63
    cludes
    -0.62
     prohib
    -0.61
    cluding
    -0.61
    bers
    -0.61
    apons
    -0.60
    byn
    -0.60
    \\\\\\\\
    -0.60
    POSITIVE LOGITS
     attent
    0.81
    é¾įå¥ij士
    0.71
    olescent
    0.68
     GOODMAN
    0.66
     ARTICLE
    0.65
    itness
    0.64
    mast
    0.64
    ibilities
    0.64
    ibly
    0.62
    cript
    0.62
    Activations Density 0.030%

    No Known Activations