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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. 8848
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    Explanations

    mention of numerical values followed by medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "less."

    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
     EDITION
    -0.76
     rall
    -0.70
     brill
    -0.69
     seiz
    -0.68
     flakes
    -0.62
     imitation
    -0.60
    ĸļ
    -0.60
     seam
    -0.59
     myster
    -0.58
     monop
    -0.56
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.72
    acan
    0.65
    ileen
    0.65
    iona
    0.62
    rawdownloadcloneembedreportprint
    0.62
    ublic
    0.62
    sburgh
    0.61
    Merit
    0.61
    ilit
    0.60
     âĶľâĶĢâĶĢ
    0.59
    Activations Density 0.270%

    No Known Activations