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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. 4507
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    INDEX
    Explanations

    quantifiable metrics and scores related to performance

    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
    323
    +0.12
    0.5%
    698
    +0.10
    0.4%
    761
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.12
    0.03
    323
    +0.10
    0.03
    698
    +0.09
    0.03
    Negative Logits
    soDeliveryDate
    -0.66
    icators
    -0.62
     Lerner
    -0.60
    culosis
    -0.59
    thin
    -0.59
    ikers
    -0.59
     Choi
    -0.57
    breakers
    -0.57
    cook
    -0.57
    legal
    -0.56
    POSITIVE LOGITS
     Fargo
    0.65
     Seym
    0.64
     mater
    0.63
    adish
    0.63
    WithNo
    0.62
     outputs
    0.61
     entropy
    0.60
     Elven
    0.60
     multiplier
    0.60
    ]+
    0.60
    Activations Density 0.400%

    No Known Activations