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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. 4-RES-JB
    11. 6520
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    Explanations

    verbs related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of dance and movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĪĴ
    -0.66
    enegger
    -0.61
    aughed
    -0.60
     Beir
    -0.57
    uably
    -0.57
    arthy
    -0.56
    çĶ°
    -0.55
    çīĪ
    -0.55
    alion
    -0.54
    aeda
    -0.54
    POSITIVE LOGITS
     orig
    0.57
     yeast
    0.55
     cube
    0.52
     analy
    0.51
     card
    0.51
    raft
    0.51
     detection
    0.49
     malt
    0.49
     sensor
    0.49
    coin
    0.48
    Activations Density 1.649%

    No Known Activations