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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. 9-RES-JB
    6. 18379
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to penalties or disciplinary actions

    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
    rouse
    -0.66
    /)
    -0.64
    them
    -0.62
    rium
    -0.60
     centers
    -0.57
     borne
    -0.56
     formations
    -0.56
     ze
    -0.56
     Merge
    -0.55
    bearing
    -0.55
    POSITIVE LOGITS
     aback
    0.91
     by
    0.87
     twice
    0.76
     criminally
    0.72
     yesterday
    0.71
     repeatedly
    0.71
     separately
    0.70
     unanimously
    0.69
    gewater
    0.69
    graded
    0.68
    Activations Density 0.181%

    No Known Activations