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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. 11268
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    Explanations

    the prefix "mor" followed by varying suffixes representing different words or concepts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mor" and its variations, suggesting a focus on topics related to morality or moral issues

    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
     Wheeler
    -0.60
    ierrez
    -0.60
     Ortiz
    -0.56
     Discrimination
    -0.56
     Weaver
    -0.54
     occupancy
    -0.53
     dotted
    -0.53
     bulls
    -0.53
     popular
    -0.53
     Fast
    -0.53
    POSITIVE LOGITS
    phia
    1.10
    sels
    1.03
    phe
    1.02
    asses
    1.02
    rison
    0.95
    onic
    0.93
    alf
    0.91
    assing
    0.91
    gue
    0.91
    aceutical
    0.90
    Activations Density 0.050%

    No Known Activations