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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. 6-RES-JB
    6. 19799
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    INDEX
    Explanations

    references to historical or cultural significance

    oai_token-act-pair · gpt-3.5-turbo

    references to heritage and its significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vae
    -0.87
    kers
    -0.86
    err
    -0.76
    ched
    -0.75
    hap
    -0.74
    pher
    -0.73
    alties
    -0.71
    eah
    -0.71
    bern
    -0.68
    arters
    -0.68
    POSITIVE LOGITS
     heritage
    1.06
    conservancy
    0.92
     preservation
    0.83
    artifacts
    0.82
     relics
    0.80
     arte
    0.80
     relic
    0.72
     conserv
    0.70
     quot
    0.69
     richness
    0.69
    Activations Density 0.025%

    No Known Activations