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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. 2428
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    Explanations

    information or references to official or documented records

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of records

    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
    Interstitial
    -1.02
    âĶģ
    -0.78
    agonist
    -0.74
    aughs
    -0.74
    agers
    -0.73
    odor
    -0.70
    emonic
    -0.69
    osi
    -0.69
    isher
    -0.68
    skill
    -0.68
    POSITIVE LOGITS
     pertaining
    0.97
     records
    0.96
    archive
    0.94
     FOIA
    0.92
    heet
    0.89
     documenting
    0.88
     declass
    0.88
     collections
    0.88
     detailing
    0.87
     collection
    0.87
    Activations Density 0.092%

    No Known Activations