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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. 3704
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    INDEX
    Explanations

    terms related to scale and distribution in various contexts

    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
    609
    +0.12
    0.5%
    597
    +0.10
    0.5%
    305
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    609
    +0.12
    0.03
    127
    +0.10
    0.02
    619
    +0.09
    0.03
    Negative Logits
     laz
    -0.89
    loe
    -0.64
    Nusra
    -0.62
     Mn
    -0.61
     humility
    -0.60
    actory
    -0.59
    reau
    -0.58
    stein
    -0.57
     RL
    -0.57
     Dull
    -0.57
    POSITIVE LOGITS
     respectively
    0.72
    ibaba
    0.69
    stand
    0.66
    omen
    0.65
    ember
    0.65
    ··
    0.65
    shaw
    0.64
    Percent
    0.64
    oppable
    0.63
     majorities
    0.62
    Activations Density 0.677%

    No Known Activations