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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. 2878
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    terms related to astronomy

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to scientific fields, particularly physics and astronomy

    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
    Not in Any Lists

    No Comments

    Negative Logits
     tuna
    -0.61
     cav
    -0.61
    EStreamFrame
    -0.60
     acknowled
    -0.60
     compliment
    -0.58
     threads
    -0.58
     Wink
    -0.57
     Blu
    -0.56
     Hallow
    -0.55
     difficulty
    -0.55
    POSITIVE LOGITS
    ically
    1.24
    icians
    1.14
    ICAL
    1.08
    ics
    1.04
    ician
    0.99
    axis
    0.97
    alyst
    0.93
    omic
    0.90
    omics
    0.90
    aic
    0.90
    Activations Density 0.136%

    No Known Activations