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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. 4-RES-JB
    11. 16329
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    Explanations

    mentions of mobile-related technologies and services

    oai_token-act-pair · gpt-3.5-turbo

    references to mobile technology and applications

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

    No Comments

    Negative Logits
    xual
    -0.93
    hov
    -0.86
    rophe
    -0.73
    urities
    -0.73
    heimer
    -0.72
    vous
    -0.71
     sidx
    -0.71
    alez
    -0.70
    âķIJâķIJ
    -0.70
    atche
    -0.70
    POSITIVE LOGITS
     phones
    1.03
    phones
    1.00
     devices
    0.86
    phone
    0.82
     phone
    0.80
     platforms
    0.80
     carriers
    0.79
     apps
    0.78
     wallets
    0.77
     launchers
    0.76
    Activations Density 0.016%

    No Known Activations