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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. 2-RES-JB
    11. 22116
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    Explanations

    words related to success and achievement

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sinai
    -0.68
    Natural
    -0.67
    FACE
    -0.66
    åĤ
    -0.64
     ozone
    -0.63
     antiqu
    -0.62
    Closure
    -0.60
     Sawyer
    -0.60
     suppose
    -0.60
     EAR
    -0.60
    POSITIVE LOGITS
    ful
    1.26
    fully
    1.25
    ceed
    1.02
    isters
    0.91
    udos
    0.87
    emouth
    0.87
    letes
    0.85
    TPPStreamerBot
    0.84
    reditary
    0.83
    orship
    0.83
    Activations Density 0.010%

    No Known Activations