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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. 11-RES-JB
    11. 12656
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    Explanations

    computer operating systems, with a focus on different versions

    oai_token-act-pair · gpt-3.5-turbo

    references to the operating system (OS) in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.82
    ouses
    -0.82
    table
    -0.72
    otine
    -0.68
    aded
    -0.68
    uating
    -0.67
     Borough
    -0.65
    unct
    -0.65
    idates
    -0.64
    aneous
    -0.62
    POSITIVE LOGITS
    DAQ
    1.12
    Gi
    1.01
    PF
    1.00
    HA
    0.98
    X
    0.95
    DEM
    0.93
     ANGEL
    0.88
    IX
    0.85
    INT
    0.84
    ullivan
    0.84
    Activations Density 0.016%

    No Known Activations