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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. 3-RES-JB
    11. 23818
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    Explanations

    phrases related to actively participating or getting involved in different activities or discussions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "engage" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pled
    -0.72
     surviving
    -0.69
    ë
    -0.67
    ple
    -0.64
     passage
    -0.63
    Origin
    -0.62
    oos
    -0.62
     Bam
    -0.61
    arily
    -0.59
    projects
    -0.59
    POSITIVE LOGITS
    ments
    0.94
     engaged
    0.93
     engagement
    0.81
    TAIN
    0.80
    glomer
    0.74
     engages
    0.74
    ern
    0.72
    lear
    0.71
    aeper
    0.71
    rame
    0.70
    Activations Density 0.017%

    No Known Activations