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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Attention Out - 32k
    9. 3-ATT_32K-OAI
    11. 3941
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    INDEX
    Explanations

    numerical data and environmental references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-attn-out-SAEs/v5_32k_layer_3
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.3.hook_attn_out
    Hook Layer
    3
    Architecture
    standard
    Context Size
    64
    Dataset
    Skylion007/openwebtext
    Activation Function
    topk
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    497
    +0.12
    0.5%
    430
    +0.11
    0.5%
    669
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    504
    +0.12
    0.01
    386
    +0.11
    0.01
    499
    +0.11
    0.01
    Negative Logits
    ARY
    -0.72
    cases
    -0.70
    Termin
    -0.66
    Blocks
    -0.65
     doors
    -0.64
    ainers
    -0.63
    Accessory
    -0.63
     torches
    -0.61
    loaded
    -0.60
    OPS
    -0.60
    POSITIVE LOGITS
    venants
    0.72
    zeb
    0.68
     sustain
    0.66
     upkeep
    0.63
     Consumers
    0.63
     Ruk
    0.62
    wcs
    0.57
     Quinn
    0.56
    ãĤ¼
    0.56
    iasis
    0.56
    Activations Density 0.019%

    No Known Activations