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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21301
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    Explanations

    words related to physical activities or tasks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to choreography and dance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     plur
    -0.72
    yip
    -0.71
    blank
    -0.66
    berman
    -0.65
     Reloaded
    -0.65
     Civic
    -0.64
     Sherman
    -0.64
    uyomi
    -0.63
     Pathfinder
    -0.60
     Elliot
    -0.59
    POSITIVE LOGITS
    ographed
    1.66
    ograph
    1.24
    ograp
    1.23
     chore
    1.17
    ographs
    1.13
    ography
    1.13
    ographer
    1.09
    ographers
    1.00
    ographic
    0.91
    strip
    0.91
    Activations Density 0.011%

    No Known Activations