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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. 13594
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    Explanations

    words related to establishing and managing technical connections, especially related to networking and data transfer

    oai_token-act-pair · gpt-3.5-turbo

    terms related to network connections

    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
    Ħ¢
    -0.92
    sburg
    -0.73
    geries
    -0.72
    orian
    -0.71
    itzer
    -0.68
    otte
    -0.65
    sle
    -0.65
    lete
    -0.65
    raining
    -0.65
    cott
    -0.64
    POSITIVE LOGITS
     connection
    0.85
    ioned
    0.82
     connections
    0.80
    Timeout
    0.80
     disconnect
    0.79
     connecting
    0.79
     wire
    0.77
    later
    0.76
     wires
    0.74
     reconnect
    0.73
    Activations Density 0.045%

    No Known Activations