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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    specific mentions of the term "Oxford"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the University of Oxford

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.75
    RANT
    -0.73
    SHIP
    -0.73
    ULT
    -0.71
    selage
    -0.70
    venge
    -0.70
    ECTION
    -0.67
    ++++
    -0.65
    Magikarp
    -0.65
    ++++++++
    -0.65
    POSITIVE LOGITS
    shire
    1.44
     Oxford
    1.01
    bridge
    0.96
     Circus
    0.92
    acus
    0.84
     University
    0.83
     comma
    0.81
    ham
    0.79
    mouth
    0.79
     Manor
    0.77
    Activations Density 0.005%

    No Known Activations