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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
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    Explanations

    phrases related to taking advantage of opportunities

    oai_token-act-pair · gpt-3.5-turbo

    words with the root "opportun" and the string "Rak"

    oai_token-act-pair · gpt-4-turbo

    terms and phrases associated with opportunism and opportunistic behavior

    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
    burgh
    -0.73
    ĨĴ
    -0.72
    æĸ¹
    -0.72
     Warrant
    -0.72
    hower
    -0.70
    omer
    -0.68
     Pledge
    -0.68
    lee
    -0.68
     Gott
    -0.66
    gur
    -0.62
    POSITIVE LOGITS
     opportun
    0.97
    eworks
    0.84
    ites
    0.83
    istics
    0.76
    istically
    0.74
    phis
    0.74
    istic
    0.73
     flyer
    0.72
    ties
    0.72
    aceae
    0.71
    Activations Density 0.019%

    No Known Activations