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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12032
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    INDEX
    Explanations

    words related to valuable or historical items, particularly artifacts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to historical artifacts and relics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rol
    -0.87
    nut
    -0.78
    yip
    -0.78
    rons
    -0.74
    kers
    -0.74
    ter
    -0.73
    tan
    -0.72
    creen
    -0.72
    sen
    -0.68
    yan
    -0.68
    POSITIVE LOGITS
    ifacts
    1.13
     arte
    1.10
     artifacts
    1.02
     artifact
    1.00
     relics
    0.93
    artifacts
    0.86
    ifact
    0.86
     Frie
    0.77
     treasures
    0.73
     relic
    0.71
    Activations Density 0.031%

    No Known Activations