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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. 2278
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    Explanations

    adverbs that express a very high degree, like "enormously" or "immensely"

    oai_token-act-pair · gpt-3.5-turbo

    words that denote significant impact or intensity

    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
    ocene
    -0.73
    iture
    -0.71
     demolition
    -0.68
    hao
    -0.65
    endif
    -0.64
    ensing
    -0.63
    itations
    -0.63
     Cause
    -0.62
    smoking
    -0.62
    isode
    -0.61
    POSITIVE LOGITS
     Important
    0.91
     profitable
    0.90
     satisfying
    0.79
     inconvenient
    0.79
     important
    0.77
     unsu
    0.77
     difficult
    0.77
     rewarding
    0.77
     beneficial
    0.76
     accommod
    0.75
    Activations Density 0.020%

    No Known Activations