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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. 2076
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    Explanations

    adverbs expressing a sense of disappointment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of sadness or regret

    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
    afort
    -0.74
    rouse
    -0.73
    eers
    -0.70
    arter
    -0.70
     preparation
    -0.67
    eer
    -0.66
    uese
    -0.66
    arters
    -0.65
    tein
    -0.64
     joints
    -0.64
    POSITIVE LOGITS
     Sadly
    0.96
    Sadly
    0.90
     sadly
    0.84
    ा
    0.80
    ãĤ´ãĥ³
    0.77
    ESA
    0.76
    mares
    0.72
     disappoint
    0.69
     alas
    0.68
    bh
    0.66
    Activations Density 0.013%

    No Known Activations