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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. 7744
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    INDEX
    Explanations

    references to caloric content and dietary metrics

    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
    35
    +0.16
    0.7%
    255
    +0.15
    0.7%
    26
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    35
    +0.16
    0.02
    255
    +0.15
    0.02
    288
    +0.10
    0.02
    Negative Logits
    smanship
    -0.82
    erness
    -0.79
    ioned
    -0.78
    ker
    -0.77
    hip
    -0.72
     Cosponsors
    -0.71
    eport
    -0.71
    acular
    -0.70
    ebin
    -0.69
    ness
    -0.68
    POSITIVE LOGITS
    assed
    0.81
    ritional
    0.80
     burned
    0.76
     burn
    0.76
     burns
    0.75
    ASED
    0.71
     calories
    0.70
     counters
    0.70
    aceous
    0.70
     intake
    0.68
    Activations Density 0.066%

    No Known Activations