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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. 2-RES-JB
    11. 15259
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    INDEX
    Explanations

    references to a specific brand, "Target"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Target."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Geological
    -0.74
     traged
    -0.71
     Oliv
    -0.70
    aut
    -0.65
    ISTORY
    -0.61
    galitarian
    -0.61
     improbable
    -0.60
     unlikely
    -0.60
    Else
    -0.59
     probable
    -0.59
    POSITIVE LOGITS
     Target
    0.85
    Target
    0.83
    ted
    0.78
    edin
    0.77
     Eag
    0.75
    achusetts
    0.75
     Pilgrim
    0.71
    pling
    0.70
    ting
    0.69
    iture
    0.69
    Activations Density 0.011%

    No Known Activations