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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. 16949
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    Explanations

    adjectives related to strong or intense emotions or actions

    oai_token-act-pair · gpt-3.5-turbo

    intense descriptors related to passion or strong emotions

    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
    akeru
    -0.85
    eret
    -0.81
    ulhu
    -0.80
    uyomi
    -0.76
    annis
    -0.75
    uration
    -0.74
    ablish
    -0.73
    regon
    -0.71
    agate
    -0.71
     Depot
    -0.70
    POSITIVE LOGITS
     fierce
    1.00
    ãĥ£
    0.91
     ferocious
    0.89
     beasts
    0.86
     fiercely
    0.84
     glare
    0.82
     earthqu
    0.82
     battles
    0.80
    ly
    0.79
     streak
    0.77
    Activations Density 0.014%

    No Known Activations