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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. 10103
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    Explanations

    the word "favor" or "favour" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating support or approval

    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
    ı
    -0.69
     Bam
    -0.64
    Wallet
    -0.61
    ridges
    -0.59
     laun
    -0.58
    borg
    -0.57
     Thumbnails
    -0.57
    DragonMagazine
    -0.57
    INFO
    -0.57
    ember
    -0.56
    POSITIVE LOGITS
    itism
    1.84
    ited
    1.06
    ably
    1.00
    ites
    0.96
    ability
    0.89
    itive
    0.84
     favoring
    0.83
    itely
    0.82
    ite
    0.77
    iting
    0.75
    Activations Density 0.057%

    No Known Activations