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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. 6-RES-JB
    11. 9582
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    Explanations

    names or proper nouns ending in 'ly'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs ending in 'ly'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilater
    -0.91
    aciously
    -0.84
    ifully
    -0.82
    ilogy
    -0.75
    artifacts
    -0.72
    itive
    -0.70
    irlf
    -0.70
    ilaterally
    -0.69
     indo
    -0.69
    arsity
    -0.69
    POSITIVE LOGITS
    tics
    1.13
    rics
    1.05
    phant
    0.94
    mph
    0.92
    rical
    0.87
    sis
    0.87
    ndra
    0.84
    ffe
    0.82
    lene
    0.82
    nda
    0.81
    Activations Density 0.038%

    No Known Activations