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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. 2720
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    Explanations

    keywords indicating opinion pieces or editorials

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "op-ed" or variations thereof

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ¶ħ
    -0.80
     Galileo
    -0.76
    ãĤ£
    -0.72
    ILLE
    -0.71
    wagen
    -0.71
    åŃIJ
    -0.70
    VILLE
    -0.70
    auga
    -0.69
     Arabia
    -0.67
     Suc
    -0.67
    POSITIVE LOGITS
    iates
    1.05
    osite
    1.02
    onent
    1.01
    orter
    0.95
    ressor
    0.90
    inion
    0.89
     op
    0.88
    iate
    0.88
    ulent
    0.86
    yright
    0.85
    Activations Density 0.006%

    No Known Activations