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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. 11-RES-JB
    11. 9159
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    Explanations

    adjectives related to emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment and negative emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imum
    -0.76
    omial
    -0.72
     Attribution
    -0.71
    eria
    -0.70
    uese
    -0.67
    aneers
    -0.66
    orno
    -0.66
    udo
    -0.65
    ert
    -0.61
    ZA
    -0.61
    POSITIVE LOGITS
     saddened
    1.42
     dismay
    1.31
     appalled
    1.29
     disappointed
    1.25
     embarrassed
    1.18
     disgusted
    1.16
     ashamed
    1.12
     alarmed
    1.11
     angered
    1.11
     amazed
    1.10
    Activations Density 0.083%

    No Known Activations