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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. 1-RES-JB
    11. 20762
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    Explanations

    phrases related to effort and recognition, such as awards and commendations

    oai_token-act-pair · gpt-3.5-turbo

    references to efforts and achievements, particularly in the context of awards, recognition, or complaints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ktop
    -0.81
     bounds
    -0.79
    à
    -0.75
    ãĥĺ
    -0.72
     Milo
    -0.71
    FACE
    -0.70
    ħĭ
    -0.70
     externalToEVAOnly
    -0.70
    ä¸Ĭ
    -0.69
    PLIED
    -0.69
    POSITIVE LOGITS
     Session
    0.95
     Squad
    0.82
     Crew
    0.79
     Enh
    0.78
     Connection
    0.77
     Habit
    0.77
     Ment
    0.76
     Records
    0.76
     Excellence
    0.75
     Process
    0.74
    Activations Density 0.034%

    No Known Activations