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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. 0-RES-JB
    11. 2029
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    INDEX
    Explanations

    occurances of the word "ought"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to challenging situations or conflicts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     date
    -0.66
     gran
    -0.64
     counting
    -0.64
     tagging
    -0.64
     layers
    -0.63
     hosting
    -0.63
     wheelchair
    -0.63
     layer
    -0.61
     br
    -0.61
     calendar
    -0.61
    POSITIVE LOGITS
    ought
    4.74
    aught
    1.78
    inker
    1.16
    inking
    1.11
    ights
    1.09
    omething
    1.01
    wered
    0.98
    inks
    0.97
    ighter
    0.96
    stood
    0.95
    Activations Density 0.008%

    No Known Activations