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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. 13422
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    Explanations

    words related to imposing burdens or penalties on someone or something

    oai_token-act-pair · gpt-3.5-turbo

    words related to burdens and penalties

    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
    ultane
    -0.71
    naissance
    -0.63
    ndra
    -0.63
    imil
    -0.62
    uers
    -0.61
    mbuds
    -0.60
     contrace
    -0.59
    bleacher
    -0.57
     largeDownload
    -0.57
    ould
    -0.57
    POSITIVE LOGITS
     Pwr
    0.73
    ĺħ
    0.68
    jit
    0.67
    benefit
    0.66
    Tier
    0.63
    spread
    0.63
    JV
    0.62
    erous
    0.61
    ¿½
    0.61
    ishly
    0.61
    Activations Density 0.116%

    No Known Activations