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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. 6-RES-JB
    11. 4122
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    Explanations

    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lau
    -0.71
    ĨĴ
    -0.65
    é¾
    -0.64
    ©¶æ¥µ
    -0.64
    Mount
    -0.63
    ingu
    -0.62
    ignty
    -0.62
    terness
    -0.61
    chart
    -0.61
    umbers
    -0.61
    POSITIVE LOGITS
     sir
    0.99
     kindly
    0.98
     guys
    0.89
     gentlemen
    0.81
     welcome
    0.79
     gracious
    0.76
    're
    0.74
    ा
    0.72
    giving
    0.72
     diligence
    0.69
    Activations Density 0.025%

    No Known Activations