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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. 7-RES-JB
    11. 21730
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sung
    -0.68
    pmwiki
    -0.67
    opers
    -0.66
    plane
    -0.65
    planes
    -0.65
    RN
    -0.64
    sites
    -0.62
    origin
    -0.61
    artifacts
    -0.61
    trop
    -0.58
    POSITIVE LOGITS
     Satisf
    1.14
    atisf
    1.06
    actory
    1.06
     satisfaction
    1.00
     satisfied
    0.97
    ments
    0.88
    imaru
    0.83
    iated
    0.82
     satisf
    0.81
     satisfy
    0.81
    Activations Density 0.032%

    No Known Activations