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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. 5-RES-JB
    6. 7399
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    INDEX
    Explanations

    words related to the oil and gas industry, particularly the company Exxon Mobil

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Exxon Mobil corporation and its related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.88
    LOAD
    -0.80
    HCR
    -0.78
    ttp
    -0.77
    enance
    -0.76
    tumblr
    -0.73
    èª
    -0.72
    cgi
    -0.69
    req
    -0.68
    %%%%
    -0.68
    POSITIVE LOGITS
    Mobil
    1.74
     Mobil
    1.36
     Vald
    1.06
    xon
    1.05
    Cola
    0.96
     Exxon
    0.83
    ciating
    0.81
    ilon
    0.79
    ileaks
    0.78
     Tillerson
    0.77
    Activations Density 0.020%

    No Known Activations