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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. 13901
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    Explanations

    mentions of different types of facilities, such as energy storage, washing facilities, housing facilities, and more

    oai_token-act-pair · gpt-3.5-turbo

    mentions of facilities and their characteristics or status

    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
    tail
    -0.77
    thin
    -0.72
     thin
    -0.66
    xious
    -0.64
     restless
    -0.64
     friend
    -0.64
    shoot
    -0.64
     brow
    -0.62
    lihood
    -0.60
    tails
    -0.60
    POSITIVE LOGITS
     facilities
    1.22
     Facilities
    1.00
     Facility
    0.90
     facility
    0.90
    chwitz
    0.88
    anooga
    0.84
    ilities
    0.82
    afety
    0.81
     restrooms
    0.80
    ility
    0.80
    Activations Density 0.010%

    No Known Activations