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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23826
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    INDEX
    Explanations

    mentions of advertisers, advertising, and compensation related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to advertising and advertisers

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

    No Comments

    Negative Logits
    chery
    -0.77
    ologies
    -0.70
     COUR
    -0.70
    yon
    -0.66
     Teach
    -0.66
     Guam
    -0.66
    atche
    -0.64
    ttp
    -0.62
    ña
    -0.61
     Ct
    -0.61
    POSITIVE LOGITS
     advertisers
    1.14
     advertis
    1.00
     marketers
    0.87
     endors
    0.85
    vertis
    0.82
     behavi
    0.78
     advertising
    0.77
    vertising
    0.77
     boycot
    0.75
    Premium
    0.75
    Activations Density 0.015%

    No Known Activations