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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. 11-RES-JB
    11. 6576
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    Explanations

    phrases related to making an effort or attempting to do something

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases that express intentions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.63
     Worse
    -0.62
    NetMessage
    -0.59
    zynski
    -0.59
     erupted
    -0.59
     Forced
    -0.58
    asca
    -0.58
    ELD
    -0.56
    famous
    -0.55
     Mayhem
    -0.55
    POSITIVE LOGITS
     minimize
    1.40
     avoid
    1.25
     maximize
    1.23
     ensure
    1.23
     maintain
    1.16
     keep
    1.16
     preserve
    1.15
     minim
    1.07
    avoid
    1.04
     insure
    1.02
    Activations Density 0.244%

    No Known Activations