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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. 10-RES-JB
    11. 4391
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    Explanations

    adjectives expressing the degree or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying degrees of extent or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yi
    -0.65
    اÙĦ
    -0.63
    ged
    -0.63
    gets
    -0.61
    rolled
    -0.61
    walking
    -0.60
     Printed
    -0.59
    chuk
    -0.57
    ros
    -0.57
    wra
    -0.56
    POSITIVE LOGITS
     extent
    2.10
     degree
    1.50
    venge
    1.26
     detriment
    1.24
     avail
    1.14
    rouse
    1.10
     effect
    1.08
     extend
    1.01
     lengths
    0.95
    degree
    0.92
    Activations Density 0.111%

    No Known Activations