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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. 4347
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    Explanations

    terms associated with evaluating qualifications and standards

    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
    445
    +0.11
    0.5%
    114
    +0.10
    0.5%
    204
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    119
    +0.11
    0.04
    580
    +0.10
    0.04
    380
    +0.10
    0.04
    Negative Logits
    minster
    -0.83
    thood
    -0.72
    rama
    -0.67
     Mubarak
    -0.67
    bian
    -0.66
     eighteenth
    -0.66
     Quint
    -0.65
    Marcus
    -0.63
     Throne
    -0.62
    =~
    -0.61
    POSITIVE LOGITS
     exch
    0.63
     inev
    0.61
    nels
    0.59
    ibilities
    0.59
    ils
    0.59
    verend
    0.59
     nonetheless
    0.58
    nces
    0.58
     grind
    0.57
     biases
    0.57
    Activations Density 0.401%

    No Known Activations