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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. 11-RES-JB
    11. 20354
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    Explanations

    references to scientific studies or research

    oai_token-act-pair · gpt-3.5-turbo

    references to academic studies or research publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Passing
    -0.65
     veto
    -0.62
    Calling
    -0.61
    âĹ¼
    -0.60
    Introduced
    -0.60
    OPA
    -0.59
    ENCY
    -0.58
     Saying
    -0.58
     rotting
    -0.58
     chanting
    -0.58
    POSITIVE LOGITS
     examined
    1.26
     examines
    1.22
     investigates
    1.19
     investigated
    1.16
     analyzed
    1.16
     analysed
    1.15
     surveyed
    1.10
     explored
    1.09
     tested
    1.08
     consisted
    1.07
    Activations Density 0.110%

    No Known Activations