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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. 1-RES-JB
    11. 13345
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    Explanations

    mentions of the element lithium in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lithium compounds or related substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    */(
    -0.92
    eering
    -0.83
    ãĥ¯
    -0.78
    ãĥĥãĥĪ
    -0.70
    detail
    -0.69
    facebook
    -0.69
    âķIJ
    -0.69
    ãĥ¤
    -0.68
     parole
    -0.67
     Canterbury
    -0.66
    POSITIVE LOGITS
     Li
    1.15
    Li
    1.07
    utenant
    1.02
    apse
    0.96
    uci
    0.88
    ikuman
    0.88
    Angelo
    0.86
    otta
    0.86
    cci
    0.85
    ying
    0.83
    Activations Density 0.003%

    No Known Activations