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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. 3482
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    Explanations

    references to alternative names or abbreviations for concepts and individuals

    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
    314
    +0.12
    0.5%
    515
    +0.10
    0.5%
    61
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    314
    +0.12
    0.04
    8
    +0.10
    0.04
    515
    +0.10
    0.04
    Negative Logits
     heed
    -0.78
     citations
    -0.77
     plaque
    -0.77
     obey
    -0.76
    iae
    -0.73
     readiness
    -0.73
     detail
    -0.71
    plate
    -0.70
     1830
    -0.67
     :=
    -0.66
    POSITIVE LOGITS
    ãĤ´ãĥ³
    0.72
    ãĥŁ
    0.72
    veyard
    0.71
    ãĥ¤
    0.69
    uca
    0.69
     burner
    0.68
    ãĤĭ
    0.68
    ãĤ¬
    0.67
    agonists
    0.66
    onz
    0.66
    Activations Density 0.746%

    No Known Activations