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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Residual Post - 32k
    9. 10-RES_POST_32K-OAI
    11. 30300
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    Explanations

    technical specifications and performance factors related to hardware

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_10.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    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
    27
    +0.13
    0.6%
    513
    +0.10
    0.5%
    284
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    289
    +0.13
    0.02
    288
    +0.10
    0.14
    678
    +0.10
    0.08
    Negative Logits
    soDeliveryDate
    -0.90
    eday
    -0.82
    reenshots
    -0.75
    profits
    -0.73
    rists
    -0.73
    onday
    -0.73
    kees
    -0.71
    ossier
    -0.71
    versions
    -0.70
    \":
    -0.69
    POSITIVE LOGITS
     technology
    0.98
     algorithm
    0.95
     chipset
    0.90
    âĦ¢
    0.84
     processor
    0.83
     codec
    0.82
     engine
    0.81
     coding
    0.79
     hashing
    0.75
     architecture
    0.75
    Activations Density 2.471%

    No Known Activations