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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. 9-RES-JB
    11. 3256
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    Explanations

    verbs related to activities or interactions with other people

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statements about events and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idav
    -0.83
    possibly
    -0.70
     Conclusion
    -0.65
    osen
    -0.64
     grasped
    -0.64
    ratulations
    -0.63
    rez
    -0.63
    raints
    -0.63
     Passage
    -0.62
     overcame
    -0.61
    POSITIVE LOGITS
     yearly
    1.44
     regularly
    1.35
     annually
    1.27
     daily
    1.27
     nightly
    1.26
     weekly
    1.22
     annual
    1.21
     monthly
    1.16
     occasionally
    1.12
     routinely
    1.10
    Activations Density 1.322%

    No Known Activations