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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 23129
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    Explanations

    short phrases related to specific events or situations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods and commas

    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
    Not in Any Lists

    No Comments

    Negative Logits
     affili
    -0.91
     appropriate
    -0.75
     criminal
    -0.75
     involuntary
    -0.73
     unle
    -0.72
     temperament
    -0.72
     commodities
    -0.72
     sustainable
    -0.71
     heirs
    -0.70
     attain
    -0.69
    POSITIVE LOGITS
     Afterwards
    1.43
     Didn
    1.32
     Unfortunately
    1.26
     Seems
    1.24
     Basically
    1.21
     Turns
    1.20
     Apparently
    1.19
     Needless
    1.19
     Luckily
    1.18
     Then
    1.14
    Activations Density 0.494%

    No Known Activations