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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. 5-RES-JB
    6. 2476
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    Explanations

    mentions of specific names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    veland
    -0.77
    Phot
    -0.68
     STATS
    -0.67
    rawdownloadcloneembedreportprint
    -0.66
    âķIJ
    -0.65
     Trance
    -0.65
    Initialized
    -0.65
    âķIJâķIJ
    -0.64
    ĺħ
    -0.64
     DRAG
    -0.63
    POSITIVE LOGITS
    glers
    0.92
    lar
    0.91
    lass
    0.87
    rum
    0.86
    akia
    0.85
    rophic
    0.84
    aeus
    0.83
    elin
    0.83
    lasses
    0.83
    ational
    0.83
    Activations Density 0.042%

    No Known Activations