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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. 4500
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    INDEX
    Explanations

    intensifiers or modifiers related to quantity and quality

    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
    434
    +0.15
    0.7%
    390
    +0.10
    0.5%
    631
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    626
    +0.15
    0.04
    434
    +0.10
    0.03
    676
    +0.10
    0.03
    Negative Logits
    elli
    -0.70
     Zone
    -0.70
    cius
    -0.65
     Canary
    -0.64
     Xia
    -0.62
    CHA
    -0.61
     Guerrero
    -0.60
     therap
    -0.59
     Prov
    -0.59
    OHN
    -0.59
    POSITIVE LOGITS
    ndra
    0.80
    unal
    0.72
    jen
    0.72
    uilt
    0.69
    iety
    0.69
    oslav
    0.68
    riter
    0.68
    ëĭ
    0.67
    actionDate
    0.66
    itate
    0.65
    Activations Density 0.131%

    No Known Activations