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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. 4-RES-JB
    6. 280
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    Explanations

    numerical values or quantities mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to quantity or measurement

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

    No Comments

    Negative Logits
     Seat
    -0.71
     Tribune
    -0.68
     Frontier
    -0.67
    ··
    -0.63
     Realm
    -0.62
     Mansion
    -0.62
     passage
    -0.61
     Kor
    -0.61
    Blade
    -0.60
     cradle
    -0.60
    POSITIVE LOGITS
     amounts
    1.06
     amount
    1.00
    ngth
    0.83
     quantities
    0.80
     sums
    0.78
    encies
    0.77
    ume
    0.76
    entially
    0.76
    imei
    0.74
    pour
    0.73
    Activations Density 0.020%

    No Known Activations