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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. 1445
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    Explanations

    positive and negative emotions related to personal feelings

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotions and feelings, particularly positive and negative sentiments

    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
    nm
    -0.62
     pioneered
    -0.62
     nm
    -0.57
     proposed
    -0.57
     supplemented
    -0.56
     bis
    -0.56
     satellite
    -0.56
    arthed
    -0.55
     iso
    -0.55
    eatures
    -0.55
    POSITIVE LOGITS
     knowing
    0.85
    âĿ
    0.73
    ãĤ´
    0.73
    iably
    0.71
     guilt
    0.71
    eph
    0.71
    chy
    0.71
     emotionally
    0.69
     feeling
    0.68
    ipolar
    0.67
    Activations Density 0.153%

    No Known Activations