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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Residual Post - 32k
    9. 8-RES_POST_32K-OAI
    11. 8296
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    Explanations

    phrases emphasizing the concept of quantity or multitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_8.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    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
    408
    +0.11
    0.5%
    48
    +0.10
    0.4%
    656
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    408
    +0.11
    0.03
    669
    +0.10
    0.03
    748
    +0.10
    0.02
    Negative Logits
    maxwell
    -0.85
    terday
    -0.76
    IER
    -0.72
    ourke
    -0.71
     srfAttach
    -0.71
    orus
    -0.68
    ovember
    -0.68
    ategory
    -0.67
    ertodd
    -0.66
    abit
    -0.66
    POSITIVE LOGITS
     complexities
    0.87
     facets
    0.85
    liest
    0.83
     nuances
    0.77
     manifestations
    0.77
     contradictions
    0.75
     failings
    0.74
    nesses
    0.71
     sins
    0.71
     frustrations
    0.70
    Activations Density 0.117%

    No Known Activations