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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. 2403
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    Explanations

    terms related to electronic devices, especially smartphones

    oai_token-act-pair · gpt-3.5-turbo

    mentions of smartphones and related devices

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oldemort
    -0.75
    riks
    -0.74
    lein
    -0.72
    pmwiki
    -0.71
    mingham
    -0.71
    rans
    -0.71
    rano
    -0.71
    herty
    -0.70
     Worcester
    -0.69
    urities
    -0.68
    POSITIVE LOGITS
     charger
    1.02
     handset
    0.97
    awei
    0.94
     unlocking
    0.90
     apps
    0.89
     phones
    0.85
     cameras
    0.85
     smartphones
    0.83
     Apps
    0.83
     devices
    0.83
    Activations Density 0.045%

    No Known Activations