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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4579
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    Explanations

    phrases related to military and defense activities

    oai_token-act-pair · gpt-3.5-turbo

    references to defense systems and military terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¡
    -0.86
    Ń·
    -0.74
    terday
    -0.71
     Canaver
    -0.71
    ĸļ
    -0.68
    ãĤ©
    -0.65
     pains
    -0.62
    stretched
    -0.61
     sidx
    -0.61
    kefeller
    -0.61
    POSITIVE LOGITS
    venture
    1.05
    vance
    1.04
    VERTIS
    1.02
    illac
    0.93
    ventures
    0.90
    vantage
    0.89
    SPA
    0.88
    APTER
    0.87
    ILY
    0.87
    ATA
    0.87
    Activations Density 0.011%

    No Known Activations