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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. 9-RES-JB
    11. 6140
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    Explanations

    sentences expressing strong emotions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions and reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     defic
    -0.83
    æ©Ł
    -0.73
    使
    -0.72
    è£
    -0.68
    orem
    -0.68
     specialty
    -0.68
    farious
    -0.66
    awei
    -0.66
     concess
    -0.65
    elist
    -0.64
    POSITIVE LOGITS
     Especially
    1.06
    Especially
    0.89
     emotionally
    0.85
     waking
    0.85
     Tears
    0.83
    Seeing
    0.82
     seeing
    0.81
     losing
    0.81
     loneliness
    0.81
     feeling
    0.81
    Activations Density 0.471%

    No Known Activations