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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. 4314
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    Explanations

    various punctuation marks, articles, and structural elements of text, indicating an emphasis on text formatting and structural components

    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
    667
    +0.13
    0.6%
    541
    +0.12
    0.5%
    156
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    145
    +0.13
    0.04
    490
    +0.12
    0.04
    293
    +0.11
    0.03
    Negative Logits
    Tokens
    -0.66
     licences
    -0.65
     è£ıç
    -0.63
    depending
    -0.63
     Nightmares
    -0.62
    Luck
    -0.61
    stats
    -0.60
     Rest
    -0.59
    âĪ
    -0.59
    exp
    -0.59
    POSITIVE LOGITS
    angled
    0.75
    owered
    0.66
     Ic
    0.66
    igl
    0.63
    anu
    0.62
     Kaplan
    0.61
    oven
    0.61
     wedge
    0.60
    olar
    0.59
    hered
    0.59
    Activations Density 0.159%

    No Known Activations