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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. 7-RES-JB
    11. 8797
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    Explanations

    words related to focus and concentration

    oai_token-act-pair · gpt-3.5-turbo

    references to focus, attention, and performance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    äºĶ
    -0.69
    elsen
    -0.67
    wrote
    -0.67
    ARDIS
    -0.66
    pired
    -0.66
    undai
    -0.66
    upon
    -0.65
    pires
    -0.63
    las
    -0.63
    NAS
    -0.62
    POSITIVE LOGITS
     rather
    0.85
     fundamentals
    0.85
     strengths
    0.80
     positives
    0.79
     basics
    0.78
     aesthetics
    0.77
     specificity
    0.74
     extremes
    0.71
     essentials
    0.71
     attainment
    0.71
    Activations Density 0.618%

    No Known Activations