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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Residual Post - 32k
    5. 10-RES_POST_32K-OAI
    6. 27697
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    Explanations

    expressions of quantity or amount related to a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_10.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    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
    185
    +0.10
    0.5%
    103
    +0.10
    0.4%
    52
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    330
    +0.10
    0.05
    625
    +0.10
    0.04
    159
    +0.09
    0.05
    Negative Logits
    eworld
    -0.73
     unfocusedRange
    -0.68
    dayName
    -0.68
    mund
    -0.66
    ony
    -0.64
    gery
    -0.61
    rush
    -0.61
     shit
    -0.60
    team
    -0.60
    gone
    -0.60
    POSITIVE LOGITS
     800
    1.39
     350
    1.38
     400
    1.37
     230
    1.36
     250
    1.36
     200
    1.35
     300
    1.34
     380
    1.34
     700
    1.34
     560
    1.33
    Activations Density 0.251%

    No Known Activations