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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. 21394
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    Explanations

    words related to a wide variety or selection of items or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a variety or spectrum of options

    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
    LV
    -0.66
    mit
    -0.65
    rafted
    -0.64
    tha
    -0.64
    morrow
    -0.63
    eps
    -0.63
     behold
    -0.63
    BA
    -0.63
    advertisement
    -0.63
    sie
    -0.63
    POSITIVE LOGITS
     range
    1.25
     ranges
    1.22
    range
    0.97
    finder
    0.95
     Range
    0.84
     bour
    0.78
     ranged
    0.76
    ahead
    0.75
     Canaver
    0.73
     Rover
    0.73
    Activations Density 0.015%

    No Known Activations