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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. 7-RES-JB
    11. 7409
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    INDEX
    Explanations

    proper nouns related to a specific oil company, Exxon Mobil

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company ExxonMobil and its executives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.89
    Interstitial
    -0.84
    enance
    -0.80
    LOAD
    -0.74
    ttp
    -0.71
    req
    -0.70
    cgi
    -0.67
    tumblr
    -0.66
    èª
    -0.64
    theless
    -0.63
    POSITIVE LOGITS
    Mobil
    1.75
     Mobil
    1.38
     Vald
    1.20
    xon
    0.97
    Cola
    0.86
    regate
    0.79
    ciating
    0.76
     Oil
    0.74
    ileaks
    0.73
    ilon
    0.73
    Activations Density 0.024%

    No Known Activations