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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. 10-RES-JB
    11. 850
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    Explanations

    relationships between paying more or less money in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial burden and expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.81
    ²¾
    -0.79
    è¦ļéĨĴ
    -0.71
    ©¶æ
    -0.67
    Ļ½
    -0.67
    Ń·
    -0.66
    numbered
    -0.64
    oked
    -0.63
    §
    -0.63
    ĪĴ
    -0.62
    POSITIVE LOGITS
     than
    1.34
     money
    1.19
     attention
    0.97
     Than
    0.92
     $$
    0.89
     upfront
    0.88
     dollars
    0.85
     income
    0.85
    -$
    0.84
     taxes
    0.80
    Activations Density 0.101%

    No Known Activations