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    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Attention Out - 32k
    5. 3-ATT_32K-OAI
    6. 3501
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    Explanations

    mentions of Sydney and its associated sports teams and events

    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
    281
    +0.12
    0.5%
    420
    +0.11
    0.5%
    241
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    241
    +0.12
    0.02
    2
    +0.11
    0.02
    140
    +0.10
    0.02
    Negative Logits
    :{
    -0.69
     Illum
    -0.69
    hesda
    -0.66
     Lieberman
    -0.65
    issue
    -0.64
     Issa
    -0.64
    lihood
    -0.63
    zyme
    -0.62
    reau
    -0.60
     genetics
    -0.58
    POSITIVE LOGITS
    achus
    0.72
    cheat
    0.72
    chell
    0.70
    ogyn
    0.70
    apore
    0.69
    çīĪ
    0.68
    ocr
    0.68
    ################
    0.66
    apist
    0.65
     lad
    0.64
    Activations Density 0.231%

    No Known Activations