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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. 8-RES-JB
    11. 10887
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    Explanations

    phrases encouraging relaxation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to relaxation and leisure activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĵ
    -0.65
    FER
    -0.61
     Pett
    -0.61
     behalf
    -0.58
     GOODMAN
    -0.56
     discrep
    -0.56
     LINE
    -0.56
    bringer
    -0.55
     servings
    -0.55
     source
    -0.55
    POSITIVE LOGITS
     relax
    0.96
     comfortably
    0.87
     Relax
    0.85
     passively
    0.83
     awaiting
    0.83
     asleep
    0.80
     snug
    0.76
    puff
    0.75
     bliss
    0.75
     smug
    0.74
    Activations Density 0.203%

    No Known Activations