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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. 8-RES-JB
    11. 24457
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    Explanations

    words related to technology or brands/products, particularly "Ne" which could indicate "Neural"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the abbreviation "Ne" or references to neurons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.90
    loo
    -0.83
     bearer
    -0.80
    DOWN
    -0.72
    Ranked
    -0.66
    REAM
    -0.65
    NESS
    -0.64
    cake
    -0.64
    AGES
    -0.63
     raining
    -0.63
    POSITIVE LOGITS
    arest
    1.38
    verend
    1.24
    olithic
    1.18
    uron
    1.14
    cker
    1.13
    umann
    1.13
    oliberal
    1.09
    utral
    1.09
    braska
    1.08
    uve
    1.01
    Activations Density 0.014%

    No Known Activations