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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. 4-RES-JB
    11. 6366
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    Explanations

    mathematical expressions and operations

    oai_token-act-pair · gpt-3.5-turbo

    mathematical expressions or equations

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

    Negative Logits
     discretion
    -0.76
     hostilities
    -0.74
     whistlebl
    -0.73
     downtime
    -0.72
     enthusi
    -0.71
     Laun
    -0.68
    laun
    -0.68
     perks
    -0.68
     Kens
    -0.68
     laun
    -0.66
    POSITIVE LOGITS
     theorem
    1.25
     algebra
    1.15
    ensional
    1.03
    orem
    1.00
     \(\
    0.98
    gebra
    0.96
    ithmetic
    0.95
     \(
    0.93
     $\
    0.93
     [(
    0.91
    Activations Density 0.406%

    No Known Activations