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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. 20098
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    Explanations

    words related to engineering and technical standards

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to standards and practices concerning health and safety

    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
     AND
    -0.54
    yip
    -0.54
    ?,
    -0.52
     and
    -0.52
    xtap
    -0.51
    ibrary
    -0.51
     Oo
    -0.51
    imester
    -0.50
     et
    -0.49
    inse
    -0.48
    POSITIVE LOGITS
     accordingly
    0.92
     thereafter
    0.80
     thereof
    0.77
     alike
    0.76
     therein
    0.69
     thereto
    0.68
     consequently
    0.67
     afterward
    0.63
    cellaneous
    0.61
     attRot
    0.59
    Activations Density 2.291%

    No Known Activations