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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. 6-RES-JB
    6. 24077
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    Explanations

    mentions of specific universities, particularly UCLA and USC

    oai_token-act-pair · gpt-3.5-turbo

    references to UCLA and USC

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odic
    -0.85
    BOOK
    -0.83
    ocene
    -0.81
    ãĥĥãĥĪ
    -0.79
    DonaldTrump
    -0.77
    ote
    -0.76
    rencies
    -0.76
    widget
    -0.73
    alez
    -0.73
    ulators
    -0.72
    POSITIVE LOGITS
     Bruins
    1.05
     Extension
    0.84
     UCLA
    0.82
     Mutual
    0.80
     ANGEL
    0.77
    ITY
    0.77
    ITED
    0.74
     Pictures
    0.73
     Graduate
    0.71
    UC
    0.71
    Activations Density 0.017%

    No Known Activations