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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. 6-RES-JB
    11. 17449
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    Explanations

    adjectives expressing various emotions

    oai_token-act-pair · gpt-3.5-turbo

    adjectives expressing strong emotions or perceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.78
    rongh
    -0.71
    uli
    -0.68
     downed
    -0.65
     bow
    -0.65
    haar
    -0.64
    insula
    -0.63
    mage
    -0.63
     carrier
    -0.62
    roma
    -0.62
    POSITIVE LOGITS
     Dragonbound
    0.80
     coincidence
    0.78
     irony
    0.74
    lly
    0.72
     enough
    0.70
     Canaver
    0.70
    imaru
    0.68
     Beir
    0.67
    Leaks
    0.66
     Pwr
    0.65
    Activations Density 0.140%

    No Known Activations