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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. 0-RES-JB
    11. 15017
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    Explanations

    phrases related to laziness

    oai_token-act-pair · gpt-3.5-turbo

    references to laziness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tops
    -0.69
     consist
    -0.68
     ord
    -0.66
     Canterbury
    -0.65
     numbered
    -0.63
     par
    -0.62
     constit
    -0.62
     correspondence
    -0.61
     printed
    -0.60
     consult
    -0.58
    POSITIVE LOGITS
    azy
    4.50
    aze
    1.52
    azi
    1.40
    azer
    1.35
    az
    1.30
    azing
    1.23
    azes
    1.11
    azel
    1.10
    atically
    1.01
    azar
    0.99
    Activations Density 0.010%

    No Known Activations