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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. 3-RES-JB
    11. 4541
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    Explanations

    the word "revelation"

    oai_token-act-pair · gpt-3.5-turbo

    words related to significant disclosures or announcements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    animate
    -0.83
    asus
    -0.73
    acci
    -0.72
    erate
    -0.71
    skill
    -0.71
    cul
    -0.71
    osh
    -0.71
    chn
    -0.70
    ope
    -0.70
    atomic
    -0.70
    POSITIVE LOGITS
     revelations
    1.31
     revelation
    1.25
    Leaks
    0.90
     Revelations
    0.88
     disclosures
    0.87
     revealed
    0.85
     loopholes
    0.82
     reveals
    0.81
     reveal
    0.78
     unearthed
    0.78
    Activations Density 0.013%

    No Known Activations