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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. 4544
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    Explanations

    terms and concepts related to simulation, particularly in contexts involving time delays and modeling

    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
    47
    +0.13
    0.6%
    766
    +0.12
    0.5%
    201
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    47
    +0.13
    0.03
    201
    +0.12
    0.03
    477
    +0.11
    0.03
    Negative Logits
     welf
    -0.74
     quo
    -0.67
     ransom
    -0.65
     skelet
    -0.64
     ration
    -0.63
     metic
    -0.62
     forb
    -0.62
    stretched
    -0.62
     looph
    -0.61
    cknowled
    -0.60
    POSITIVE LOGITS
    sit
    0.70
    effects
    0.70
    rosso
    0.69
    ognitive
    0.69
    ricanes
    0.68
    ouls
    0.68
    ickets
    0.66
    ovie
    0.66
    Sov
    0.66
    antz
    0.65
    Activations Density 0.873%

    No Known Activations