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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. 7-RES-JB
    11. 10909
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    Explanations

    words describing the importance or necessity of something

    oai_token-act-pair · gpt-3.5-turbo

    words that denote importance or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arij
    -0.66
    elf
    -0.62
    ivery
    -0.61
    shirt
    -0.61
    flat
    -0.59
     vom
    -0.56
     sweats
    -0.56
     faint
    -0.56
    bern
    -0.55
    uthor
    -0.55
    POSITIVE LOGITS
     adjunct
    0.73
     deterrent
    0.72
    allo
    0.68
     undermin
    0.68
     nonetheless
    0.67
     ingred
    0.67
     for
    0.66
     determining
    0.66
     enough
    0.66
    aneously
    0.66
    Activations Density 0.100%

    No Known Activations