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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. 9-RES-JB
    11. 23884
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    Explanations

    words related to decision-making and future intentions in a context of personal choices and career paths

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making decisions or considering options

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.75
     Lavrov
    -0.72
     uniformly
    -0.67
     exqu
    -0.67
     evenly
    -0.64
     Contains
    -0.64
     predictable
    -0.63
    oret
    -0.63
    unders
    -0.62
    patch
    -0.61
    POSITIVE LOGITS
     quitting
    1.30
     quit
    1.14
     Quit
    1.04
     retirement
    1.01
     volunteering
    0.96
     Volunte
    0.94
     trek
    0.92
    quit
    0.91
    join
    0.90
     resign
    0.90
    Activations Density 0.592%

    No Known Activations