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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 7926
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    Explanations

    specified prefixes or words that are followed by another specific word or phrase

    oai_token-act-pair · gpt-3.5-turbo

    references to preferences and favorite things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.94
    CTV
    -0.90
     Downs
    -0.81
    Trend
    -0.79
    tainment
    -0.77
     Sakuya
    -0.75
    aneers
    -0.73
     Canad
    -0.70
     Guinness
    -0.70
    isons
    -0.69
    POSITIVE LOGITS
    uler
    0.95
    ulously
    0.83
     pref
    0.79
    penter
    0.73
    unci
    0.69
    opic
    0.68
     alley
    0.67
    Ĺ
    0.66
     Obj
    0.66
     debtor
    0.65
    Activations Density 0.030%

    No Known Activations