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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. 9-RES-JB
    11. 19848
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    Explanations

    sentences related to emotional situations such as crying, shouting, and expressing emotional responses

    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences or strong emotional expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    quartered
    -0.88
     dating
    -0.83
     abduct
    -0.82
     carbohyd
    -0.81
     optimized
    -0.76
    amn
    -0.72
     tempt
    -0.72
     nutshell
    -0.71
     mammoth
    -0.71
     extinct
    -0.71
    POSITIVE LOGITS
     Others
    1.44
     Later
    1.33
    Others
    1.31
     Moments
    1.25
     Afterwards
    1.24
    Later
    1.22
     Eventually
    1.14
     Meanwhile
    1.13
     Then
    1.12
     Nonetheless
    1.10
    Activations Density 0.498%

    No Known Activations