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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. 1-RES-JB
    11. 16401
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    oai_token-act-pair · gpt-3.5-turbo

    network speed specifications and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rine
    -0.69
    illy
    -0.68
     Schwarz
    -0.67
    orically
    -0.65
    mus
    -0.64
    neys
    -0.64
    onia
    -0.63
    rums
    -0.63
     Swe
    -0.62
    erva
    -0.62
    POSITIVE LOGITS
     Mbps
    1.35
    Mbps
    1.29
    bps
    0.94
    Upload
    0.78
    fen
    0.76
    ilater
    0.72
    dq
    0.71
    abit
    0.70
     speeds
    0.69
     crore
    0.68
    Activations Density 0.005%

    No Known Activations