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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. 1-RES-JB
    11. 6393
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    Explanations

    words related to issues or references concerning disruptions or disqualifications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Dis" often associated with disruption or discipline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.78
    ocobo
    -0.70
    akeru
    -0.69
     Juliet
    -0.69
    UA
    -0.68
    netflix
    -0.67
    terday
    -0.65
    ONY
    -0.64
    glers
    -0.64
     Kinnikuman
    -0.64
    POSITIVE LOGITS
    ruption
    1.08
    cipl
    1.00
    qus
    0.99
    abling
    0.97
    rupt
    0.95
    claimer
    0.92
    ciplinary
    0.92
    rup
    0.91
    position
    0.89
    abled
    0.88
    Activations Density 0.005%

    No Known Activations