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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. 7399
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    Explanations

    words related to energy, enthusiasm, and motivation

    oai_token-act-pair · gpt-3.5-turbo

    words related to energy and empowerment

    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
     sworn
    -0.62
    onyms
    -0.61
     unrecogn
    -0.60
     hairs
    -0.59
    ared
    -0.59
    seless
    -0.59
     Tsukuyomi
    -0.58
     Leaves
    -0.58
     Leilan
    -0.58
     forgiven
    -0.56
    POSITIVE LOGITS
    aukee
    0.90
    BALL
    0.89
     Springs
    0.87
    ãĥ¼ãĥĨ
    0.83
    iasm
    0.74
     Pwr
    0.74
    staking
    0.72
    itialized
    0.72
     awa
    0.71
    ment
    0.71
    Activations Density 0.142%

    No Known Activations