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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. 10-RES-JB
    11. 7070
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Jarrett
    -0.70
     Gunn
    -0.66
     caution
    -0.66
     Typh
    -0.65
     Cecil
    -0.65
     AVG
    -0.63
     Carlton
    -0.63
     raging
    -0.62
     Deity
    -0.62
     Cthulhu
    -0.61
    POSITIVE LOGITS
    otechnology
    1.55
    otech
    1.42
    ocry
    1.36
    omach
    1.31
    osc
    1.19
    jing
    1.17
    ocom
    1.14
    obi
    1.13
    omi
    1.08
    ograms
    1.07
    Activations Density 0.035%

    No Known Activations