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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. 16187
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    INDEX
    Explanations

    words related to negativity or negative opinions

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments towards various subjects

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.92
    pai
    -0.90
    ilus
    -0.84
    irs
    -0.81
    illance
    -0.80
    paio
    -0.79
    eters
    -0.78
    cript
    -0.78
    PT
    -0.76
    atum
    -0.75
    POSITIVE LOGITS
     nightmares
    0.92
     awful
    0.87
     sounding
    0.85
     havoc
    0.84
     nightmare
    0.83
     horrible
    0.83
     headache
    0.83
     earthqu
    0.80
     terrible
    0.79
     pain
    0.77
    Activations Density 0.018%

    No Known Activations