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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. 16449
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    Explanations

    phrases indicating desires, intentions, or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express desires or intentions

    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
    BuyableInstoreAndOnline
    -0.62
     Cosponsors
    -0.60
    river
    -0.60
    afety
    -0.60
     Else
    -0.60
    Plus
    -0.60
     Cros
    -0.58
     IOC
    -0.58
    andestine
    -0.58
    lip
    -0.57
    POSITIVE LOGITS
     accomplish
    1.24
     achieve
    1.12
     emulate
    1.07
     happen
    0.98
     pursue
    0.91
     avoid
    0.89
     solve
    0.88
     attain
    0.87
     eliminate
    0.86
     see
    0.83
    Activations Density 0.103%

    No Known Activations