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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 19830
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    Explanations

    phrases related to actions or events happening or occurring

    oai_token-act-pair · gpt-3.5-turbo

    references to upcoming events or releases

    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
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    Negative Logits
    catentry
    -0.56
    Vers
    -0.49
     [|
    -0.46
     relates
    -0.45
     Shoot
    -0.45
     Practices
    -0.43
     freezes
    -0.43
    doms
    -0.43
    scenes
    -0.43
     Culture
    -0.42
    POSITIVE LOGITS
    enced
    0.58
    lycer
    0.57
    cedented
    0.53
    roo
    0.51
    emonium
    0.51
    roud
    0.49
    ailable
    0.48
    kaya
    0.48
    glers
    0.47
    .–
    0.47
    Activations Density 7.158%

    No Known Activations