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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. 8-RES-JB
    11. 14493
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    Explanations

    phrases related to cutting or reducing something

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "cut" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Dunham
    -0.71
     Remastered
    -0.63
     Organisation
    -0.62
     Moder
    -0.62
    ORE
    -0.62
    igma
    -0.61
    ña
    -0.60
    Purchase
    -0.59
    âĸ¬âĸ¬
    -0.59
     Monitor
    -0.59
    POSITIVE LOGITS
    thro
    1.19
    scenes
    1.18
    scene
    1.14
    aneous
    1.07
    lasses
    1.07
     corners
    0.88
     off
    0.85
    lass
    0.85
     throats
    0.85
    backs
    0.84
    Activations Density 0.037%

    No Known Activations