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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. 8-RES-JB
    6. 9397
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    Explanations

    phrases related to limits and maximums

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating limits, quantities, or restrictions

    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
     pse
    -0.76
     Zimmer
    -0.74
    }}}
    -0.66
    liest
    -0.65
    ãĤ¨
    -0.63
     Assy
    -0.62
    å®
    -0.60
    âĹ¼
    -0.60
    ãĤ¿
    -0.59
    Redd
    -0.59
    POSITIVE LOGITS
     unlimited
    0.90
    maximum
    0.86
     prepaid
    0.85
     increments
    0.82
     drinks
    0.80
     servings
    0.80
    abyte
    0.78
     maximum
    0.78
     Maximum
    0.77
    each
    0.74
    Activations Density 0.456%

    No Known Activations