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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. 2416
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    Explanations

    terms related to technology and computing, specifically focusing on octa-core processors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of octopuses or similar sea creatures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
    culosis
    -0.69
     Hots
    -0.66
     Pact
    -0.63
    Interstitial
    -0.62
    ãģĦ
    -0.61
    tsky
    -0.61
     Manifest
    -0.60
    éĹĺ
    -0.59
    HCR
    -0.59
     cough
    -0.58
    POSITIVE LOGITS
    opus
    1.65
    agonal
    1.28
    agon
    1.24
    ave
    1.12
    avia
    1.09
    ober
    1.06
    ogen
    1.03
    osp
    1.00
    av
    1.00
    aves
    0.99
    Activations Density 0.035%

    No Known Activations