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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of different types of headsets, specifically virtual reality headsets

    oai_token-act-pair · gpt-3.5-turbo

    references to virtual reality and related headsets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angu
    -0.66
    sec
    -0.65
    neg
    -0.64
     Sever
    -0.63
    zanne
    -0.63
    avid
    -0.62
    arching
    -0.62
    payers
    -0.62
     Uran
    -0.62
    bor
    -0.60
    POSITIVE LOGITS
     headset
    1.60
     headsets
    1.42
    Ħ¢
    1.13
     goggles
    0.89
     Rift
    0.88
     headphones
    0.86
     microphone
    0.84
     Oculus
    0.83
    etooth
    0.81
    tek
    0.75
    Activations Density 0.006%

    No Known Activations