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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. 13087
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    Explanations

    words related to negative emotions, such as despair, vengeance, pain, loneliness, and discouragement

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to emotional struggles and societal issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    wic
    -0.81
    geons
    -0.78
    ETS
    -0.76
     Cosponsors
    -0.76
    */(
    -0.75
    adelphia
    -0.72
    odcast
    -0.72
    azines
    -0.71
    devices
    -0.70
    ricanes
    -0.69
    POSITIVE LOGITS
     obscurity
    1.29
     creativity
    1.24
     innocence
    1.21
     solitude
    1.20
     secrecy
    1.19
     ambiguity
    1.18
     hardship
    1.18
     elegance
    1.18
     excitement
    1.17
     negativity
    1.15
    Activations Density 0.214%

    No Known Activations