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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. 8-RES-JB
    11. 11466
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    Explanations

    proper nouns or names of people and places enclosed in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    parenthetical references or numeric annotations within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Partition Features Layer 8 GPT2 Small
    " token" vs "token"

    No Comments

    Negative Logits
     privileged
    -0.78
     retard
    -0.77
     ion
    -0.75
     squid
    -0.72
     privilege
    -0.72
     nitrogen
    -0.72
     press
    -0.71
     electr
    -0.71
     afford
    -0.71
     hydrogen
    -0.71
    POSITIVE LOGITS
    both
    1.38
    formerly
    1.34
    also
    1.31
    see
    1.31
    sic
    1.28
    including
    1.25
    includes
    1.24
    which
    1.24
    another
    1.23
    again
    1.23
    Activations Density 0.131%

    No Known Activations