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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. 10-RES-JB
    11. 13598
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    Explanations

    words related to practicality or practical applications

    oai_token-act-pair · gpt-3.5-turbo

    references to practical applications or practicality in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.79
    union
    -0.70
    âķIJâķIJ
    -0.69
    Roy
    -0.68
    ewitness
    -0.67
    outheast
    -0.65
    juven
    -0.64
     Furious
    -0.63
    Ĥª
    -0.63
    bered
    -0.62
    POSITIVE LOGITS
    ity
    1.32
    ities
    1.17
     impossibility
    1.10
     considerations
    1.02
     applications
    0.91
     application
    0.90
     advice
    0.88
     solutions
    0.88
     applic
    0.84
    iencies
    0.84
    Activations Density 0.049%

    No Known Activations