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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. 11-RES-JB
    11. 376
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    Explanations

    the word "rig" with varying levels of emphasis in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "rig."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terson
    -0.73
    birth
    -0.66
    peak
    -0.61
     Leilan
    -0.61
     Winc
    -0.61
    CRE
    -0.61
    theless
    -0.59
    ISS
    -0.59
     Bie
    -0.58
     wart
    -0.57
    POSITIVE LOGITS
    orously
    1.79
    ged
    1.38
    idity
    1.25
    ging
    1.25
    gins
    1.19
    orous
    1.18
    gers
    1.17
    glers
    1.13
    yrinth
    1.08
    ger
    1.05
    Activations Density 0.034%

    No Known Activations