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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. 0-RES-JB
    11. 1990
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    Explanations

    words related to intense actions, particularly those involving force or impact

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "zing."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     purpose
    -0.67
     wide
    -0.66
     wider
    -0.63
     secondly
    -0.62
     widest
    -0.62
     defect
    -0.60
     vinyl
    -0.59
     Bounty
    -0.59
     centre
    -0.55
     Main
    -0.55
    POSITIVE LOGITS
    zing
    4.43
    zed
    3.78
    zes
    3.19
    ze
    2.48
    zers
    2.45
    zer
    2.15
    zeb
    1.79
    ZE
    1.78
    zy
    1.74
    zin
    1.71
    Activations Density 0.012%

    No Known Activations