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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. 9-RES-JB
    6. 24
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    INDEX
    Explanations

    objects that can be used as weapons

    oai_token-act-pair · gpt-3.5-turbo

    instances of items or substances classified as dangerous or harmful

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.81
    Ĥª
    -0.71
     nutshell
    -0.68
    thal
    -0.68
    issance
    -0.68
    prints
    -0.63
    istically
    -0.63
    izes
    -0.63
    jad
    -0.62
    ortment
    -0.61
    POSITIVE LOGITS
     which
    0.73
     etc
    0.68
     Mehran
    0.65
     tradem
    0.61
    Magikarp
    0.59
     Mandal
    0.58
    Footnote
    0.57
    interrupted
    0.57
     Delta
    0.57
     Stronghold
    0.56
    Activations Density 0.256%

    No Known Activations