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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    words related to sympathy and empathy

    oai_token-act-pair · gpt-3.5-turbo

    words related to sympathy and empathy

    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
    corn
    -0.81
    growth
    -0.78
    aer
    -0.76
    kj
    -0.76
    stall
    -0.74
    heimer
    -0.71
    eor
    -0.70
    ouver
    -0.69
    down
    -0.67
    arde
    -0.67
    POSITIVE LOGITS
    arity
    0.88
     sympathy
    0.83
     sympath
    0.82
     towards
    0.80
    ately
    0.75
     Cosponsors
    0.74
     toward
    0.72
    axter
    0.68
    athetic
    0.68
     sympathetic
    0.67
    Activations Density 0.063%

    No Known Activations