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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. 16285
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    Explanations

    text and symbols related to a specific formatting or coding convention

    oai_token-act-pair · gpt-3.5-turbo

    nouns and technical terminology related to complex systems and probabilities

    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
    •Partition Features Layer 8 GPT2 Small
    " Token" vs "token"

    No Comments

    Negative Logits
     Haku
    -0.81
     Tent
    -0.77
     Mub
    -0.76
     Liter
    -0.74
     Robot
    -0.74
     Yad
    -0.73
     Amon
    -0.71
     Tribal
    -0.70
     Tier
    -0.70
     Sob
    -0.70
    POSITIVE LOGITS
    together
    1.23
    ó
    1.22
    Loading
    1.21
    without
    1.20
    administ
    1.17
    matter
    1.17
    within
    1.14
    subject
    1.14
    Commission
    1.13
    enough
    1.13
    Activations Density 0.202%

    No Known Activations