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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. 4-RES-JB
    11. 2436
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    Explanations

    adverbs conveying certainty, such as 'never', 'always', 'often', 'sometimes', and 'normally'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs indicating frequency or certainty

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

    No Comments

    Negative Logits
    ggles
    -0.82
     Increases
    -0.69
    ortmund
    -0.64
     Adds
    -0.64
    isco
    -0.64
     VIDEOS
    -0.62
     Packs
    -0.62
    ipeg
    -0.62
     solves
    -0.62
     earns
    -0.61
    POSITIVE LOGITS
    omorphic
    0.89
     supposed
    0.83
     visible
    0.80
     going
    0.79
     capable
    0.79
     subject
    0.77
     synonymous
    0.76
     confined
    0.76
     incompatible
    0.75
    Ļ½
    0.75
    Activations Density 0.286%

    No Known Activations