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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. 9-RES-JB
    11. 19638
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    Explanations

    operating system names

    oai_token-act-pair · gpt-3.5-turbo

    references to operating systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tein
    -0.82
    ouses
    -0.77
    uated
    -0.72
    uating
    -0.71
     Finn
    -0.69
    aneous
    -0.67
    inav
    -0.66
    ifax
    -0.65
     Borough
    -0.65
    unct
    -0.63
    POSITIVE LOGITS
    DAQ
    1.05
    Gi
    0.99
    PF
    0.95
    DEM
    0.95
    HA
    0.88
     ANGEL
    0.85
    MIC
    0.84
    PDATE
    0.82
    X
    0.80
    CE
    0.79
    Activations Density 0.021%

    No Known Activations