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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. 2-RES-JB
    11. 19387
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    Explanations

    references to crowds in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of crowds or gatherings of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axter
    -0.69
    tein
    -0.69
    omic
    -0.68
    dar
    -0.67
    umar
    -0.67
    ces
    -0.65
    ccording
    -0.64
    ishops
    -0.64
    remlin
    -0.63
    odan
    -0.61
    POSITIVE LOGITS
    naires
    0.92
    ourced
    0.89
     crowd
    0.88
    ourcing
    0.86
     crowds
    0.84
    fare
    0.83
    naire
    0.82
    atics
    0.75
     audiences
    0.74
     swarm
    0.74
    Activations Density 0.011%

    No Known Activations