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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Residual Post - 32k
    9. 8-RES_POST_32K-OAI
    11. 4360
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    Explanations

    ways in which speed and efficiency are discussed in the context of business or delivery processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_8.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    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
    497
    +0.12
    0.5%
    720
    +0.11
    0.5%
    753
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    107
    +0.12
    0.15
    640
    +0.11
    0.13
    160
    +0.10
    0.14
    Negative Logits
    EStreamFrame
    -0.83
    uton
    -0.81
    warts
    -0.75
    ciplinary
    -0.72
    wart
    -0.72
    pite
    -0.70
     toler
    -0.66
    seless
    -0.66
    bole
    -0.65
    paralle
    -0.64
    POSITIVE LOGITS
    laughs
    0.91
    JC
    0.91
    Question
    0.90
    Interview
    0.89
    TON
    0.89
    Q
    0.87
    JB
    0.84
    Yeah
    0.83
    AMY
    0.82
     KING
    0.82
    Activations Density 0.622%

    No Known Activations