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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. 2-RES-JB
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    Explanations

    words related to negative emotions like horror or disgust

    oai_token-act-pair · gpt-3.5-turbo

    expressions of horror or dismay

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    inth
    -0.66
    allery
    -0.66
    enture
    -0.65
    hart
    -0.65
    ept
    -0.64
     installment
    -0.64
    graded
    -0.64
    stay
    -0.63
    road
    -0.63
    ultimate
    -0.63
    POSITIVE LOGITS
     aback
    1.06
     horrified
    0.98
     stunned
    0.90
     shocked
    0.89
    ĸļ
    0.89
     appalled
    0.85
     disgusted
    0.84
     bystanders
    0.81
     onlook
    0.80
     startled
    0.72
    Activations Density 0.031%

    No Known Activations