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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7664
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    Explanations

    names related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    names and references related to notable individuals and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Morty
    -0.67
     Recon
    -0.54
    SourceFile
    -0.52
     Scotia
    -0.51
    staking
    -0.50
     Chak
    -0.50
    enance
    -0.50
     APR
    -0.50
     fixme
    -0.50
     Pv
    -0.49
    POSITIVE LOGITS
     Citiz
    0.61
    conservancy
    0.59
    soDeliveryDate
    0.58
    querque
    0.58
     ageing
    0.57
    ©¶æ
    0.56
     advoc
    0.56
     redes
    0.54
     upgr
    0.53
     conduc
    0.53
    Activations Density 5.464%

    No Known Activations