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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. 2899
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    oai_token-act-pair · gpt-3.5-turbo

    references to prior content or posts

    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
     ILCS
    -0.81
    aliation
    -0.74
    abad
    -0.72
    park
    -0.70
    lua
    -0.70
    asin
    -0.69
    alion
    -0.69
     Himself
    -0.68
    rea
    -0.68
    lee
    -0.66
    POSITIVE LOGITS
     generations
    1.22
    ebin
    1.12
     incarnation
    1.05
     incarn
    1.01
     installments
    0.94
     iterations
    0.93
     administrations
    0.90
     iteration
    0.90
     occupant
    0.89
     editions
    0.87
    Activations Density 0.048%

    No Known Activations