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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. 1-RES-JB
    11. 7502
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    Explanations

    keywords related to scalability and physical conditions of the scalp

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scalability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    doms
    -0.73
     Winston
    -0.73
    IDA
    -0.69
    uyomi
    -0.68
     Nich
    -0.67
    Downloadha
    -0.67
    ooth
    -0.66
    UNE
    -0.65
    icipated
    -0.65
     Phant
    -0.65
    POSITIVE LOGITS
     scal
    1.35
    packages
    0.92
     scales
    0.85
     oranges
    0.82
     fins
    0.80
     bolts
    0.79
    rencies
    0.78
     necks
    0.74
     rentals
    0.74
    ©¶æ
    0.73
    Activations Density 0.007%

    No Known Activations