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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. 3-RES-JB
    11. 9258
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    Explanations

    references to network connections and communication protocols

    oai_token-act-pair · gpt-3.5-turbo

    terms related to network connections and connectivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    herty
    -0.83
    Ħ¢
    -0.76
    rie
    -0.73
    orical
    -0.70
    steen
    -0.69
    inse
    -0.68
    orian
    -0.68
    gotten
    -0.67
     caloric
    -0.66
    Tre
    -0.65
    POSITIVE LOGITS
     Ethernet
    0.90
     Devices
    0.86
    connection
    0.81
     sockets
    0.80
     connection
    0.80
     Router
    0.80
     Addiction
    0.80
    Timeout
    0.77
     cables
    0.77
    Connection
    0.76
    Activations Density 0.032%

    No Known Activations