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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. 2623
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    Explanations

    calls to action and encouragements for community engagement

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and engagement prompts

    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
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    No Comments

    Negative Logits
    omas
    -0.67
    axter
    -0.64
    oglu
    -0.63
     appell
    -0.61
    istani
    -0.60
     interpre
    -0.59
     Enlight
    -0.59
    sterdam
    -0.58
     Helpful
    -0.58
     McMaster
    -0.58
    POSITIVE LOGITS
    Feel
    0.90
    Actor
    0.87
    Trend
    0.86
    Loading
    0.82
    Prev
    0.81
    Learn
    0.80
    Hide
    0.78
    Please
    0.78
    Subscribe
    0.77
    Discover
    0.76
    Activations Density 0.093%

    No Known Activations