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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. 1879
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying personal reflection and emotional motivation

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Alas
    -0.66
     !
    -0.65
     Archive
    -0.65
    OVA
    -0.63
     Twice
    -0.63
    %%
    -0.62
     Mail
    -0.62
     eagerly
    -0.61
     Suff
    -0.61
     Memories
    -0.59
    POSITIVE LOGITS
     mathemat
    1.01
    entimes
    0.98
     gonna
    0.94
     sort
    0.89
     kind
    0.89
     incent
    0.86
     everybody
    0.86
     uh
    0.82
     [
    0.81
     kinda
    0.78
    Activations Density 1.308%

    No Known Activations