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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. 4-RES-JB
    11. 22208
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    Explanations

    information related to conducting research and gathering data

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "research" and its variations

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

    No Comments

    Negative Logits
    cakes
    -0.70
     Leilan
    -0.67
    zzi
    -0.66
     Nept
    -0.66
     rapp
    -0.64
    twitch
    -0.61
     dism
    -0.60
     Alive
    -0.59
     mortals
    -0.58
     Lann
    -0.57
    POSITIVE LOGITS
    sonian
    0.84
    Ô
    0.81
    çīĪ
    0.78
     researching
    0.75
    ively
    0.75
     psychology
    0.74
    research
    0.72
     psychologist
    0.71
     resear
    0.70
    iably
    0.69
    Activations Density 0.034%

    No Known Activations