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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. 2691
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    Explanations

    network technology specifics like 4G and 5G

    oai_token-act-pair · gpt-3.5-turbo

    references to mobile network technologies, particularly 4G and 5G services

    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
    ãĤ©
    -0.83
     Freud
    -0.70
     Hitchcock
    -0.69
     Carroll
    -0.65
     Chatt
    -0.61
     Eug
    -0.61
     CVE
    -0.61
     crib
    -0.61
    aternal
    -0.61
     Kuh
    -0.59
    POSITIVE LOGITS
    bps
    0.97
    imensional
    0.84
    PP
    0.79
    +.
    0.77
     LTE
    0.76
    voice
    0.75
     Platinum
    0.74
    +,
    0.73
    reens
    0.72
    MAX
    0.70
    Activations Density 0.049%

    No Known Activations