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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. 8-RES-JB
    11. 10514
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    Explanations

    words related to harshness or severity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to severe or intense negativity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.88
    cellent
    -0.81
    assies
    -0.76
    ovember
    -0.74
    ĸļ
    -0.72
    conservancy
    -0.72
    phis
    -0.71
    ource
    -0.71
    uality
    -0.71
    iverse
    -0.70
    POSITIVE LOGITS
     punishments
    1.09
     winters
    1.05
     punishment
    1.00
     retribution
    0.96
    est
    0.94
     harsh
    0.91
     punitive
    0.89
     harshly
    0.86
     austerity
    0.86
     reminders
    0.85
    Activations Density 0.050%

    No Known Activations