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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 14766
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    Explanations

    references to different operating systems, particularly focusing on versions 8 and 9

    oai_token-act-pair · gpt-3.5-turbo

    mentions of operating systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hur
    -0.75
    tein
    -0.71
    uated
    -0.69
    rences
    -0.67
    ildo
    -0.66
    uating
    -0.66
     Finn
    -0.66
    unct
    -0.65
    rouse
    -0.65
    ouses
    -0.64
    POSITIVE LOGITS
    DAQ
    0.98
    Gi
    0.90
    ICH
    0.87
    PF
    0.86
    PDATE
    0.84
    OS
    0.84
     ANGEL
    0.81
    HA
    0.80
    OLOGY
    0.79
    OLOG
    0.79
    Activations Density 0.023%

    No Known Activations