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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7701
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    stre
    -0.83
     therap
    -0.76
     paternity
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     nurs
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    Cele
    -0.67
    âĢİ
    -0.66
     drowned
    -0.65
     Pill
    -0.65
     tsun
    -0.64
    POSITIVE LOGITS
     output
    0.97
    ython
    0.95
     Output
    0.95
    Output
    0.95
     configure
    0.88
     python
    0.88
     Python
    0.84
     default
    0.82
    output
    0.82
     outputs
    0.82
    Activations Density 0.507%

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