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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. 18616
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    Explanations

    historical events and notable figures

    oai_token-act-pair · gpt-3.5-turbo

    the presence of an empty segment or lack of content

    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
    stood
    -0.72
     Seym
    -0.63
    holders
    -0.61
    arta
    -0.60
     buckets
    -0.59
    edIn
    -0.59
     quotas
    -0.58
    âĨij
    -0.57
     Preferences
    -0.55
     Matter
    -0.55
    POSITIVE LOGITS
    wolves
    0.94
    wolf
    0.90
    hes
    0.88
     instrumental
    0.71
    nt
    0.71
    ps
    0.70
    ":"/
    0.69
    ctuary
    0.65
     born
    0.63
     able
    0.63
    Activations Density 0.075%

    No Known Activations