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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. 10-RES-JB
    11. 24390
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    Explanations

    words related to cleanliness or environmental cleanliness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to clean technology and environmental sustainability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -1.07
     Osw
    -0.81
    doms
    -0.78
     Briggs
    -0.78
    ãĥĦ
    -0.78
    PsyNetMessage
    -0.77
    ajor
    -0.70
    ussian
    -0.68
    arge
    -0.67
    BN
    -0.66
    POSITIVE LOGITS
    liness
    1.55
    se
    1.11
    ups
    0.99
     slate
    0.95
    houses
    0.87
    Techn
    0.84
    room
    0.84
    up
    0.83
    ewater
    0.83
    est
    0.83
    Activations Density 0.031%

    No Known Activations