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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. 3304
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    INDEX
    Explanations

    significant points of interest or emphasis in arguments

    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
    186
    +0.15
    0.7%
    405
    +0.14
    0.6%
    63
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    186
    +0.15
    0.05
    179
    +0.14
    0.04
    252
    +0.11
    0.04
    Negative Logits
    "))
    -0.73
    issan
    -0.70
    swer
    -0.70
    agar
    -0.70
     Gaming
    -0.69
    owship
    -0.65
    stros
    -0.64
     Brist
    -0.64
    rower
    -0.63
    md
    -0.63
    POSITIVE LOGITS
    ãĥ¯ãĥ³
    0.85
    pmwiki
    0.66
     ISBN
    0.65
     hinges
    0.64
    ãĥĺ
    0.64
    case
    0.63
     acceler
    0.63
     metaphor
    0.63
    Catalog
    0.62
    erest
    0.62
    Activations Density 1.255%

    No Known Activations