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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. 17682
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    oai_token-act-pair · gpt-3.5-turbo

    numerical ratings or data points

    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
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    Negative Logits
     ''
    -1.24
     âĢİ
    -1.20
    ,...
    -1.06
     ``
    -0.94
    ,''
    -0.90
    ''
    -0.89
    .''
    -0.89
     tremend
    -0.81
    }}}
    -0.80
    .--
    -0.79
    POSITIVE LOGITS
     –
    1.25
    –
    0.99
    fml
    0.73
    tle
    0.72
    Facebook
    0.72
    .–
    0.70
    ³³³³³³³³
    0.70
    âĢ³
    0.68
    cms
    0.67
    ovy
    0.67
    Activations Density 0.153%

    No Known Activations