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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
    11. 4709
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    There seems to be a mix of nonsensical activation values for Neuron 4. Would you mind double-checking the values?

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cryptocurrencies and digital tokens

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

    No Comments

    Negative Logits
    Ļ½
    -0.70
    bnb
    -0.69
     Rivals
    -0.65
     srfAttach
    -0.63
     Pwr
    -0.61
     cort
    -0.60
    è¦ļéĨĴ
    -0.60
     Tru
    -0.60
     pitched
    -0.59
     vanquished
    -0.59
    POSITIVE LOGITS
     sake
    0.69
    theless
    0.69
    caps
    0.63
    haus
    0.61
    coin
    0.60
    imus
    0.58
    mouth
    0.58
    brook
    0.58
    ockets
    0.58
    tery
    0.58
    Activations Density 0.093%

    No Known Activations