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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. 16292
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    Explanations

    words related to emotions and feelings, particularly expressing empathy and understanding

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional states and struggles

    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
     bidder
    -0.66
    bris
    -0.64
     rul
    -0.60
     rall
    -0.59
     lieutenant
    -0.59
     rival
    -0.58
     favoured
    -0.58
     deputy
    -0.57
     precedent
    -0.56
    iola
    -0.55
    POSITIVE LOGITS
     themselves
    1.28
    selves
    1.22
    their
    1.02
     THEIR
    1.01
     nowadays
    0.99
     selves
    0.97
     their
    0.94
     experiencing
    0.90
    Their
    0.89
     Their
    0.88
    Activations Density 0.424%

    No Known Activations