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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
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    Explanations

    references to the brand "Toyota"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the car brand Toyota

    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
    andestine
    -0.80
    icter
    -0.78
    edly
    -0.77
    iotic
    -0.70
    gettable
    -0.70
    sembly
    -0.69
    ï¸ı
    -0.68
    theless
    -0.68
     politic
    -0.68
    ername
    -0.67
    POSITIVE LOGITS
    ota
    0.97
    ju
    0.91
    osh
    0.85
    oga
    0.83
    ©¶æ¥µ
    0.82
    neys
    0.78
    eka
    0.76
    owa
    0.75
    omi
    0.75
    isha
    0.74
    Activations Density 0.018%

    No Known Activations