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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. 4-RES-JB
    11. 12386
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    Explanations

    phrases related to the concept of "effort"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "eff" suggesting effectiveness or efficiency

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

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.78
    DragonMagazine
    -0.75
    ãĥ¯ãĥ³
    -0.69
     Nightmares
    -0.68
    BOOK
    -0.67
    REDACTED
    -0.67
    btn
    -0.65
     Split
    -0.65
    Root
    -0.65
     Shining
    -0.65
    POSITIVE LOGITS
    endi
    1.09
    luent
    1.08
    emin
    1.04
    encing
    1.04
    usive
    1.01
    rites
    0.99
    iency
    0.96
    itt
    0.95
    erves
    0.95
    iencies
    0.94
    Activations Density 0.005%

    No Known Activations