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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. 7577
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    Explanations

    phrases related to commendations or well-wishing

    oai_token-act-pair · gpt-3.5-turbo

    expressions of well-wishing and congratulatory remarks

    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
    staking
    -0.85
    licted
    -0.70
    elled
    -0.70
    prov
    -0.67
    affiliated
    -0.66
    specific
    -0.63
     differed
    -0.63
    olia
    -0.62
    split
    -0.60
    chart
    -0.60
    POSITIVE LOGITS
    !
    1.05
     sir
    0.98
    !:
    0.92
    !,
    0.89
    !'
    0.88
     gentlemen
    0.88
    !"
    0.88
    !]
    0.87
    !!
    0.86
    !!!
    0.85
    Activations Density 0.221%

    No Known Activations