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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. 8-RES-JB
    11. 8105
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    Explanations

    phrases related to emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating assumptions or qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctors
    -0.79
    oday
    -0.67
    skirts
    -0.66
     Bam
    -0.66
    rities
    -0.64
    atures
    -0.62
    armac
    -0.62
     Ames
    -0.61
    ctor
    -0.61
    oj
    -0.61
    POSITIVE LOGITS
    been
    0.93
     mistaken
    0.86
     confined
    0.82
     indistinguishable
    0.80
     obligated
    0.80
     considered
    0.80
     regarded
    0.76
     obliged
    0.75
     compelled
    0.74
     synonymous
    0.74
    Activations Density 0.348%

    No Known Activations