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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. 9027
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    Explanations

    descriptions of products or items

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of processes or mechanisms related to functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     MORE
    -0.79
     forgetting
    -0.78
    better
    -0.78
    another
    -0.74
    livion
    -0.74
    endif
    -0.73
     misses
    -0.72
    else
    -0.71
    Similarly
    -0.70
     regrets
    -0.70
    POSITIVE LOGITS
     consisted
    1.02
     consist
    1.00
     consists
    0.96
    Setup
    0.89
     consisting
    0.86
     rectangular
    0.84
     comprised
    0.82
     cyl
    0.78
     Approximately
    0.77
     divided
    0.77
    Activations Density 1.441%

    No Known Activations