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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. 11-RES-JB
    11. 20582
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    present participles or gerunds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.62
     manageable
    -0.61
     streaming
    -0.60
     nour
    -0.59
     buzzing
    -0.59
    pering
    -0.58
     spitting
    -0.57
     SERV
    -0.57
     waiting
    -0.57
     subordinate
    -0.56
    POSITIVE LOGITS
    tons
    1.57
    ham
    1.33
    ton
    1.25
    HAM
    1.14
    haus
    1.13
    redients
    1.13
    hetti
    1.04
    hoff
    1.00
    bird
    0.95
    uez
    0.95
    Activations Density 0.116%

    No Known Activations