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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. 11-RES-JB
    6. 2906
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    Explanations

    adjectives or verbs related to morality or ethics

    oai_token-act-pair · gpt-3.5-turbo

    words related to harm and protection, particularly in social and legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.64
    <?
    -0.59
     reluct
    -0.59
     fooled
    -0.58
     suspic
    -0.57
     Laugh
    -0.56
    aired
    -0.55
     nightmare
    -0.55
    pload
    -0.54
     confir
    -0.54
    POSITIVE LOGITS
     elsewhere
    1.14
     or
    1.04
     abroad
    0.91
     themselves
    0.88
     respectively
    0.86
    .
    0.86
    .[
    0.83
     domestically
    0.83
     otherwise
    0.81
     overseas
    0.81
    Activations Density 0.395%

    No Known Activations