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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. 19591
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    Explanations

    references to waking up or being awakened

    oai_token-act-pair · gpt-3.5-turbo

    instances of waking up or awakening experiences

    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
     derog
    -0.88
     incentive
    -0.74
     incentives
    -0.68
     rhet
    -0.66
     incentiv
    -0.65
     notoriously
    -0.64
     rivalry
    -0.64
    respect
    -0.64
     offsets
    -0.63
     moderates
    -0.62
    POSITIVE LOGITS
     greeted
    0.92
     woke
    0.90
     waking
    0.81
     smelled
    0.79
    ORN
    0.78
     reapp
    0.78
     realized
    0.77
     startled
    0.77
    ODY
    0.76
     smell
    0.76
    Activations Density 0.448%

    No Known Activations