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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. 6-RES-JB
    11. 693
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    Explanations

    phrases related to advanced concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of long-lasting or significant concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    efe
    -0.62
     Harding
    -0.52
    interstitial
    -0.51
     millenn
    -0.50
    paying
    -0.49
     Frie
    -0.48
    reason
    -0.47
     Huck
    -0.47
     Elias
    -0.47
    ĨĴ
    -0.46
    POSITIVE LOGITS
     Leilan
    0.69
    ãĥīãĥ©ãĤ´ãĥ³
    0.58
     Piercing
    0.57
     pandemonium
    0.56
     [|
    0.56
     Andromeda
    0.54
     Kou
    0.53
     Cthulhu
    0.52
     Shards
    0.52
    ragon
    0.52
    Activations Density 1.663%

    No Known Activations