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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. 3668
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    INDEX
    Explanations

    positive feedback on a narrative's quality and character performances

    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
    7
    +0.10
    0.5%
    589
    +0.10
    0.5%
    372
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    372
    +0.10
    0.12
    515
    +0.10
    0.11
    554
    +0.10
    0.21
    Negative Logits
    proc
    -0.80
     mailing
    -0.78
     protective
    -0.78
     registry
    -0.75
     practicable
    -0.73
     Protective
    -0.71
    yip
    -0.71
     Bulk
    -0.69
     ASIC
    -0.68
     debian
    -0.68
    POSITIVE LOGITS
     storylines
    1.15
     narration
    1.12
     cinematic
    1.07
     sequels
    1.03
     cinem
    1.00
     scenes
    0.99
    movie
    0.97
     Cinem
    0.94
     flashbacks
    0.94
     narrator
    0.93
    Activations Density 19.049%

    No Known Activations