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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. 23538
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    Explanations

    words related to thanking or congratulating others

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "thanks" or expressions of gratitude

    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
    staking
    -0.85
    alone
    -0.80
     guiActiveUn
    -0.75
    frac
    -0.71
    emaker
    -0.71
    olia
    -0.69
    irlf
    -0.68
    eton
    -0.68
    imates
    -0.68
    sid
    -0.68
    POSITIVE LOGITS
     sir
    1.05
     huh
    1.04
     dear
    0.93
     gentlemen
    0.91
     eh
    0.89
     ladies
    0.87
     buddy
    0.84
     please
    0.84
     folks
    0.82
     mate
    0.78
    Activations Density 0.212%

    No Known Activations