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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. 1221
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    keywords related to technology and medical treatments such as "medical", "surgical", and "technological"

    oai_token-act-pair · gpt-3.5-turbo

    suffixes related to technical or medical terminology

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Cheong
    -0.59
    RT
    -0.57
     dur
    -0.57
     <+
    -0.56
     misunder
    -0.56
     Grizz
    -0.54
     Tie
    -0.54
     Costa
    -0.53
     unauthorized
    -0.53
     Kens
    -0.53
    POSITIVE LOGITS
    ic
    2.37
    ics
    2.30
    ical
    2.27
    ically
    2.24
    icism
    1.94
    ICAL
    1.80
    icity
    1.73
    ICS
    1.71
    icians
    1.70
    icum
    1.67
    Activations Density 0.249%

    No Known Activations