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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. 17587
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    Explanations

    mentions of computer hardware and settings

    oai_token-act-pair · gpt-3.5-turbo

    words with the suffixes 'er', 'ar', and 'eter'

    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
     ILCS
    -0.66
    EStream
    -0.62
    govtrack
    -0.61
    使
    -0.60
    xual
    -0.60
    tackle
    -0.59
     reins
    -0.59
    ãĤ¸
    -0.58
     burden
    -0.58
     shar
    -0.58
    POSITIVE LOGITS
    onne
    0.82
    ita
    0.81
    ados
    0.81
    ã
    0.80
    gio
    0.79
    itas
    0.79
    icks
    0.78
    oux
    0.77
    iant
    0.77
    iac
    0.76
    Activations Density 0.140%

    No Known Activations