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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. 2-RES-JB
    11. 2031
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    Explanations

    phrases related to emotions, particularly focusing on feelings of strong emotion or situations where emotions are involved

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional states or feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Secondly
    -0.78
     Chim
    -0.75
     Shutterstock
    -0.70
    adish
    -0.68
    licensed
    -0.68
     Granted
    -0.65
    olesc
    -0.64
     Leap
    -0.64
     Camer
    -0.63
     Shared
    -0.61
    POSITIVE LOGITS
     comfortable
    0.90
    ãĤ¶
    0.86
    OWS
    0.83
     sensations
    0.79
    INGS
    0.78
     vibrations
    0.77
     feel
    0.75
    vier
    0.74
     uncomfortable
    0.74
     felt
    0.74
    Activations Density 0.034%

    No Known Activations