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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. 10-RES-JB
    11. 3087
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    Explanations

    words related to running or movement

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to running or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    olia
    -0.68
    ortium
    -0.68
    artisan
    -0.65
     Uriel
    -0.64
     Lauder
    -0.64
     outlook
    -0.62
    repre
    -0.62
    icult
    -0.62
    alam
    -0.59
    icultural
    -0.58
    POSITIVE LOGITS
    aways
    1.11
    nin
    1.08
     af
    1.03
    gs
    1.00
     away
    0.99
    away
    0.97
    escape
    0.96
     err
    0.95
    ways
    0.90
    estones
    0.87
    Activations Density 0.039%

    No Known Activations