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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. 6329
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    Explanations

    phrases related to assignments or assessments

    oai_token-act-pair · gpt-3.5-turbo

    words related to alignment and reassignment processes

    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
     Lum
    -0.70
     pige
    -0.67
     med
    -0.61
     mic
    -0.59
    Mill
    -0.57
     servers
    -0.57
     viruses
    -0.57
     gren
    -0.56
     mocked
    -0.56
     bombs
    -0.55
    POSITIVE LOGITS
    ignment
    4.59
    igning
    1.86
    igned
    1.76
    ign
    1.59
     alignment
    1.32
    essment
    1.32
    ocation
    1.22
    ignty
    1.20
    align
    1.20
    ociation
    1.16
    Activations Density 0.012%

    No Known Activations