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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. 6-RES-JB
    11. 7483
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    Explanations

    instances of people's names or terms related to legal matters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific terms related to people, places, or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     capacities
    -0.66
     Independence
    -0.66
     indis
    -0.65
     oppos
    -0.65
     AMC
    -0.64
     AUD
    -0.62
     endorsement
    -0.62
     IMAGES
    -0.61
     Unc
    -0.61
     Airbnb
    -0.61
    POSITIVE LOGITS
    q
    1.11
    p
    1.09
    tar
    1.05
    b
    1.03
    f
    1.03
    qt
    1.01
    sh
    1.00
    ln
    0.99
    n
    0.99
    h
    0.98
    Activations Density 0.249%

    No Known Activations