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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. 4730
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    Explanations

    adjectives related to intense emotions or qualities, such as zeal, insistence, jealousy, and resentment

    oai_token-act-pair · gpt-3.5-turbo

    words related to jealousy and competitive behavior

    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
    Spring
    -0.72
    ãĤ
    -0.72
    idge
    -0.70
    bath
    -0.70
    ocaust
    -0.64
    DERR
    -0.64
    Ô
    -0.61
    ãģĵ
    -0.60
    Ĥİ
    -0.59
    java
    -0.59
    POSITIVE LOGITS
    nesses
    0.80
    xual
    0.79
    lihood
    0.79
    ty
    0.78
    ures
    0.77
    terday
    0.76
    ness
    0.75
    ealous
    0.73
    =#
    0.70
    ieth
    0.70
    Activations Density 0.048%

    No Known Activations