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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. 4-RES-JB
    11. 16168
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    Explanations

    words related to negative emotions, specifically focusing on the feeling of being upset

    oai_token-act-pair · gpt-3.5-turbo

    expressions of distress or emotional turmoil

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

    No Comments

    Negative Logits
     livest
    -0.96
     liner
    -0.80
    glas
    -0.79
    istered
    -0.78
    ographies
    -0.77
    icrobial
    -0.76
    vernment
    -0.73
    nesota
    -0.73
    atures
    -0.72
    ATURE
    -0.71
    POSITIVE LOGITS
    dy
    0.92
     upset
    0.85
     uproar
    0.73
    die
    0.71
    wart
    0.71
    Brexit
    0.70
    der
    0.69
    dies
    0.69
     Voldemort
    0.67
     Dumbledore
    0.66
    Activations Density 0.009%

    No Known Activations