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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. 9-RES-JB
    11. 13933
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    Explanations

    terms related to cleanliness and environmental care

    oai_token-act-pair · gpt-3.5-turbo

    references to cleanliness and clean energy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -1.07
     Osw
    -0.83
    doms
    -0.77
    PsyNetMessage
    -0.75
    ãĥĦ
    -0.74
    BN
    -0.68
     Briggs
    -0.66
    ussian
    -0.65
    ajor
    -0.65
    andom
    -0.64
    POSITIVE LOGITS
    liness
    1.49
    se
    1.00
    ups
    0.95
     slate
    0.89
    clean
    0.86
    houses
    0.83
    Techn
    0.83
    ly
    0.83
     cleaner
    0.81
    room
    0.79
    Activations Density 0.047%

    No Known Activations