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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. 1536
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    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases and the presence of qualifications or restrictions

    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
    kson
    -0.60
    luster
    -0.60
    Exit
    -0.59
     exoner
    -0.57
    forth
    -0.57
    SPONSORED
    -0.57
    destruct
    -0.56
     Glob
    -0.56
     Shake
    -0.56
     Transparency
    -0.56
    POSITIVE LOGITS
     want
    1.28
    want
    1.18
     wanna
    1.15
     wish
    1.14
     aren
    1.05
     wished
    1.03
     intend
    1.03
     haven
    1.02
     crave
    0.99
     unsure
    0.98
    Activations Density 0.267%

    No Known Activations