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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. 3-RES-JB
    11. 4461
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĪĴ
    -0.75
    venge
    -0.70
     sanity
    -0.66
    icable
    -0.64
    abet
    -0.63
    ĵĺ
    -0.62
    ranch
    -0.62
    arious
    -0.61
    OTA
    -0.61
    rous
    -0.60
    POSITIVE LOGITS
    Ãį
    0.90
     IMAGES
    0.88
     caption
    0.84
     Thumbnails
    0.84
    allery
    0.82
    BBC
    0.80
     Images
    0.80
     Shutterstock
    0.80
     labelled
    0.80
     Belfast
    0.77
    Activations Density 0.076%

    No Known Activations