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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. 13923
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    Explanations

    phrases related to different kinds of transactions or commercial terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative or prohibited actions

    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
     aborted
    -0.73
     Curt
    -0.67
     Corpus
    -0.64
     dashed
    -0.63
     Arrows
    -0.61
     Thousand
    -0.59
     flares
    -0.59
    Ĥª
    -0.59
     Ble
    -0.59
     Viper
    -0.59
    POSITIVE LOGITS
    dos
    0.98
    date
    0.97
    morrow
    0.96
    order
    0.90
    learn
    0.86
    buy
    0.85
    20439
    0.85
    existence
    0.84
    days
    0.84
    advertising
    0.82
    Activations Density 0.028%

    No Known Activations