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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. 23176
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    Explanations

    words related to contributions and giving

    oai_token-act-pair · gpt-3.5-turbo

    references to contributions in various contexts

    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
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    Negative Logits
     Lumpur
    -0.69
    Ther
    -0.67
    ft
    -0.64
     Lob
    -0.64
     Rapt
    -0.62
    Ut
    -0.61
    awk
    -0.60
    Sensor
    -0.59
    tight
    -0.59
     Angels
    -0.59
    POSITIVE LOGITS
     contribution
    1.18
     contributions
    1.14
     Contributions
    0.93
    iosyncr
    0.93
    ertodd
    0.86
    jriwal
    0.85
    alore
    0.85
     contributor
    0.84
    jri
    0.81
     contribut
    0.81
    Activations Density 0.010%

    No Known Activations