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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. 24070
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    Explanations

    phrases indicating a process or action being taken with varying levels of determination or seriousness

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing the concept of "taking" or managing situations

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.69
    alde
    -0.63
    inguished
    -0.61
    clusions
    -0.60
     Absent
    -0.60
    ubric
    -0.60
     pockets
    -0.58
    FTWARE
    -0.57
    properties
    -0.57
    ICE
    -0.56
    POSITIVE LOGITS
    alian
    0.93
     easy
    0.89
    easy
    0.87
     upon
    0.86
     notor
    0.77
     apart
    0.75
     seriously
    0.74
     away
    0.73
     Seriously
    0.73
     awa
    0.72
    Activations Density 0.035%

    No Known Activations