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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. 6-RES-JB
    11. 13926
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    Explanations

    titles, professions or descriptions related to being very productive or successful

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prolific output or production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sterdam
    -0.79
    pta
    -0.75
    strap
    -0.66
    uden
    -0.66
     narrowly
    -0.64
    ptions
    -0.63
    arest
    -0.62
     Sheen
    -0.62
     allegiance
    -0.62
    pt
    -0.60
    POSITIVE LOGITS
    lisher
    0.88
    acy
    0.86
    ity
    0.86
    catentry
    0.82
    ally
    0.81
    entimes
    0.80
    iary
    0.79
    ivity
    0.78
    icity
    0.77
    ulously
    0.77
    Activations Density 0.037%

    No Known Activations