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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. 6909
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    oai_token-act-pair · gpt-3.5-turbo
    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
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    Negative Logits
    ONSORED
    -0.63
     qualitative
    -0.62
     fruitful
    -0.62
     Province
    -0.62
    staking
    -0.61
     Beir
    -0.60
    EGIN
    -0.60
     Opportun
    -0.59
     attrition
    -0.59
     Fundamental
    -0.59
    POSITIVE LOGITS
     pads
    0.96
     blaster
    0.93
     kit
    0.93
    plates
    0.87
     tray
    0.87
     adapter
    0.84
     charger
    0.84
     brushes
    0.82
     nozzle
    0.82
     magnets
    0.82
    Activations Density 0.624%

    No Known Activations