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    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Attention Out - 32k
    5. 3-ATT_32K-OAI
    6. 4382
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    Explanations

    numerical data related to medical or biological concepts

    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
    71
    +0.16
    0.7%
    218
    +0.11
    0.5%
    497
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    640
    +0.16
    0.15
    713
    +0.11
    0.10
    326
    +0.11
    0.10
    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.77
    Team
    -0.70
    actionDate
    -0.68
    hander
    -0.66
    icum
    -0.66
     TEAM
    -0.65
    .):
    -0.65
    ãĥĭ
    -0.64
    ,'"
    -0.63
    -+-+
    -0.62
    POSITIVE LOGITS
     pag
    0.67
     econom
    0.66
     logic
    0.61
     inclined
    0.61
     incl
    0.61
     faster
    0.59
     repetition
    0.59
     calculation
    0.59
     gro
    0.59
     greens
    0.58
    Activations Density 3.943%

    No Known Activations