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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. 1-RES-JB
    11. 8551
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    Explanations

    expressions of surprise or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disbelief or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 1 - surprise

    No Comments

    Negative Logits
    Afee
    -0.78
    76561
    -0.72
    NetMessage
    -0.72
    arthy
    -0.71
    icipated
    -0.70
    heny
    -0.66
     obligations
    -0.64
     freedoms
    -0.63
     equilibrium
    -0.62
     acquisitions
    -0.61
    POSITIVE LOGITS
     Seriously
    1.22
     Really
    0.92
    Seriously
    0.88
    soever
    0.88
     Awesome
    0.79
     Enough
    0.79
     Hate
    0.78
     Anyway
    0.76
     kidding
    0.76
     Opinion
    0.76
    Activations Density 0.009%

    No Known Activations