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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. 10-RES-JB
    11. 2246
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Leilan
    -0.85
    ivari
    -0.81
    yip
    -0.67
     imitation
    -0.64
    chio
    -0.64
     Barr
    -0.62
    Production
    -0.62
    BuyableInstoreAndOnline
    -0.60
    EStreamFrame
    -0.60
    iations
    -0.60
    POSITIVE LOGITS
    lights
    1.15
     warrant
    1.08
    light
    1.03
     Warrant
    1.02
     warrants
    1.01
     engine
    0.87
     engines
    0.87
    able
    0.86
    prising
    0.80
    urg
    0.73
    Activations Density 0.040%

    No Known Activations