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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. 3-RES-JB
    11. 9812
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    INDEX
    Explanations

    words indicating causality or consequence

    oai_token-act-pair · gpt-3.5-turbo

    the word "hence" and its various usages in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bastard
    -0.65
     Mehran
    -0.64
    abies
    -0.61
    YING
    -0.61
     Patty
    -0.61
     Wizards
    -0.60
     clinics
    -0.59
     Kaiser
    -0.58
     Aboriginal
    -0.57
     Bru
    -0.56
    POSITIVE LOGITS
    forth
    1.91
    forward
    1.33
    aper
    0.80
    entimes
    0.79
    apers
    0.78
    ener
    0.77
    rely
    0.75
    anium
    0.75
    comings
    0.75
    ional
    0.74
    Activations Density 0.008%

    No Known Activations