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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. 14042
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    Explanations

    verbs related to the action of receiving or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a process of receiving or experiencing something continuously

    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
    runtime
    -0.72
     {:
    -0.69
     Cause
    -0.67
     Scope
    -0.65
     Xuan
    -0.61
    Listener
    -0.60
    aign
    -0.59
     Lanka
    -0.59
    ida
    -0.59
     Geographic
    -0.59
    POSITIVE LOGITS
     closer
    1.29
     nearer
    1.20
     ready
    1.19
     smarter
    1.17
     stronger
    1.11
     richer
    1.11
     warmer
    1.10
     progressively
    1.10
     healthier
    1.09
     hotter
    1.07
    Activations Density 0.073%

    No Known Activations