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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. 10-RES-JB
    11. 23218
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    Explanations

    phrases related to different types of environments and settings

    oai_token-act-pair · gpt-3.5-turbo

    references to different contexts or settings in which activities occur

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     laure
    -0.71
    tsy
    -0.61
     initials
    -0.61
    atus
    -0.59
    apego
    -0.59
    igham
    -0.59
    iversary
    -0.58
    sth
    -0.58
    Icon
    -0.57
     ribs
    -0.57
    POSITIVE LOGITS
     where
    1.23
     wherein
    0.91
     involving
    0.89
     environments
    0.88
     requiring
    0.87
     frequ
    0.87
     situations
    0.87
     surrounded
    0.86
     such
    0.84
    where
    0.84
    Activations Density 0.275%

    No Known Activations