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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. 1337
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    Explanations

    special characters such as quotes and parentheses

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks or references to dialogue

    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
     Nieto
    -0.79
     offended
    -0.76
     Klu
    -0.73
     synd
    -0.72
     cancell
    -0.71
     predomin
    -0.71
     Tribune
    -0.70
     retribution
    -0.70
     anim
    -0.69
     constitu
    -0.69
    POSITIVE LOGITS
    normal
    1.11
    cheat
    1.11
    false
    1.08
    true
    1.08
    official
    1.06
    Hey
    1.04
    BuyableInstoreAndOnline
    1.02
    catentry
    1.02
    Hello
    1.01
    Empty
    1.01
    Activations Density 0.108%

    No Known Activations