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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. 9-RES-JB
    11. 17989
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    Explanations

    technology-related terms and platform names

    oai_token-act-pair · gpt-3.5-turbo

    references to digital media and platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ........
    -0.81
    `.
    -0.79
    .......
    -0.79
    ����
    -0.77
     ....
    -0.75
     ..........
    -0.74
    .<
    -0.73
    ||||
    -0.73
    ushima
    -0.72
    ().
    -0.72
    POSITIVE LOGITS
     renaissance
    0.86
     analogy
    0.81
     crackdown
    0.81
     playbook
    0.80
     equivalents
    0.79
     woes
    0.78
     uptick
    0.76
     backlash
    0.76
     disruptions
    0.74
     penchant
    0.74
    Activations Density 0.664%

    No Known Activations