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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. 3165
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    Explanations

    keywords related to physical movement or motion

    oai_token-act-pair · gpt-3.5-turbo

    references to movement in various contexts

    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
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    No Comments

    Negative Logits
    ihil
    -0.81
    unts
    -0.73
    nect
    -0.68
    xus
    -0.68
    ãĤ©
    -0.68
    vana
    -0.64
    omial
    -0.63
    çļ
    -0.63
    GE
    -0.62
    ingen
    -0.62
    POSITIVE LOGITS
     motions
    0.90
    peed
    0.88
     motion
    0.84
     movements
    0.79
    able
    0.78
     patterns
    0.75
     brisk
    0.74
     cursor
    0.73
     direction
    0.73
     sideways
    0.73
    Activations Density 0.078%

    No Known Activations