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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. 17548
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    Explanations

    phrases related to future plans or intentions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to discussions of the future or potential developments

    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
    quartered
    -0.60
     fooled
    -0.60
     exhilar
    -0.59
     exqu
    -0.58
     hailed
    -0.56
     enthusiastically
    -0.56
     remarkably
    -0.56
     alleging
    -0.55
    inguished
    -0.54
     tempting
    -0.54
    POSITIVE LOGITS
     elsewhere
    0.91
     future
    0.83
     later
    0.81
     broader
    0.79
    Other
    0.78
    Secondly
    0.78
     wider
    0.78
     others
    0.77
    other
    0.76
    later
    0.76
    Activations Density 1.106%

    No Known Activations