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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. 5351
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    Explanations

    items or concepts related to shopping or product features

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate comparisons or similarities

    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
    hovah
    -0.76
    enary
    -0.73
    arbon
    -0.72
     Inquiry
    -0.69
    rontal
    -0.64
    ITNESS
    -0.63
    ÙĴ
    -0.62
    ribution
    -0.61
    orse
    -0.61
    idate
    -0.61
    POSITIVE LOGITS
     namely
    0.88
    including
    0.80
    such
    0.72
     including
    0.71
     ours
    0.64
     viz
    0.64
    Berry
    0.64
     ATK
    0.61
    etsk
    0.58
     include
    0.58
    Activations Density 0.189%

    No Known Activations