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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. 3-RES-JB
    11. 12551
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    Explanations

    words related to consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    culosis
    -0.63
     Hayward
    -0.62
    Rated
    -0.62
     Responsibility
    -0.62
     FSA
    -0.61
    eele
    -0.60
    ocene
    -0.60
     Carney
    -0.60
     Thornton
    -0.59
     Worker
    -0.59
    POSITIVE LOGITS
     ens
    1.43
    sembly
    0.86
    aturated
    0.80
     ensued
    0.78
    ailing
    0.76
    cha
    0.75
     entangled
    0.74
    ues
    0.74
    ider
    0.74
    oing
    0.73
    Activations Density 0.004%

    No Known Activations