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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. 2575
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    Explanations

    expressions of gratitude or appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    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
     endif
    -0.80
     Worse
    -0.77
     blamed
    -0.73
    Qaida
    -0.66
    adj
    -0.59
    EVA
    -0.59
    uries
    -0.58
    ESA
    -0.58
     tallest
    -0.57
    Enlarge
    -0.57
    POSITIVE LOGITS
    ecast
    0.76
    spection
    0.70
     generosity
    0.69
     yourselves
    0.69
     patience
    0.68
     ðŁĻĤ
    0.67
     fruitful
    0.64
     constructive
    0.64
    Thanks
    0.64
     :)
    0.64
    Activations Density 0.317%

    No Known Activations