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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. 3501
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to organizations and institutions

    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
    hips
    -0.74
    iphate
    -0.73
     Nare
    -0.67
    ription
    -0.65
     Argument
    -0.64
    apore
    -0.62
     Potion
    -0.62
    yre
    -0.62
     Retrieved
    -0.61
    glomer
    -0.61
    POSITIVE LOGITS
    goers
    1.42
     insiders
    1.17
    members
    1.13
     members
    1.13
     officials
    1.12
    wide
    1.12
     leaders
    1.08
     managers
    1.03
     regulars
    1.03
     staffers
    1.03
    Activations Density 0.290%

    No Known Activations