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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. 4-RES-JB
    11. 20394
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    Explanations

    the word "strange" or phrases containing the essence of strangeness

    oai_token-act-pair · gpt-3.5-turbo

    the concept of strangeness or unusualness

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

    No Comments

    Negative Logits
    bern
    -0.88
    dain
    -0.77
    bers
    -0.77
    chen
    -0.76
    amaru
    -0.76
    ©¶æ
    -0.75
    adr
    -0.74
    utable
    -0.74
    ainers
    -0.73
    rylic
    -0.73
    POSITIVE LOGITS
     occurrences
    1.06
    ly
    0.94
     coincidence
    0.91
     anomalies
    0.87
    worldly
    0.87
     twists
    0.82
     anomaly
    0.82
    ness
    0.81
     circumstances
    0.80
    lihood
    0.80
    Activations Density 0.029%

    No Known Activations