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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. 9-RES-JB
    11. 23359
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    Explanations

    text related to legal matters or official documents

    oai_token-act-pair · gpt-3.5-turbo

    indicators of text structure and organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.71
     Equip
    -0.69
     Traps
    -0.67
     Inventory
    -0.66
     (%)
    -0.64
    olid
    -0.62
    ablished
    -0.61
    existence
    -0.60
     Faction
    -0.60
     Rarity
    -0.59
    POSITIVE LOGITS
     excerpts
    1.25
     transcript
    1.14
     excerpt
    1.11
     snippet
    1.02
     redacted
    1.02
    pdf
    1.00
     transcription
    0.99
     transc
    0.98
    PDF
    0.97
     clip
    0.96
    Activations Density 0.493%

    No Known Activations