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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. 11-RES-JB
    11. 1883
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    Explanations

    phrases related to cleanliness and environmental conservation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cleanliness and clean technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.87
    yip
    -0.86
    PsyNetMessage
    -0.78
    doms
    -0.72
     Briggs
    -0.71
    ãĥĦ
    -0.68
    arge
    -0.65
    BIP
    -0.64
     relativity
    -0.64
     Ort
    -0.63
    POSITIVE LOGITS
    liness
    1.64
    ups
    1.13
     slate
    1.07
    se
    1.04
    up
    1.02
    room
    0.90
    Techn
    0.86
    est
    0.86
    liest
    0.85
    rooms
    0.82
    Activations Density 0.037%

    No Known Activations