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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. 8-RES-JB
    11. 6293
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    Explanations

    phrases related to the concept of communication or transmission

    oai_token-act-pair · gpt-3.5-turbo

    references to methods or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    terday
    -0.89
     unemploy
    -0.80
    aphael
    -0.69
     worshipped
    -0.66
    olor
    -0.61
     lasted
    -0.61
     characterized
    -0.61
     greets
    -0.61
    igue
    -0.61
     Indies
    -0.60
    POSITIVE LOGITS
     combination
    0.95
     prism
    0.93
     lens
    0.83
     backdoor
    0.82
     sheer
    0.79
    stand
    0.79
     vantage
    0.77
     means
    0.75
     proxy
    0.75
     standpoint
    0.75
    Activations Density 0.340%

    No Known Activations