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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. 3-RES-JB
    11. 17483
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    Explanations

    phrases or words related to intense pressure or time constraints

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of 'crunch', particularly in contexts like deadlines, data analysis, and intensity in various scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    juven
    -0.79
    DCS
    -0.79
    uberty
    -0.66
    veh
    -0.66
     Tsarnaev
    -0.65
     Volunteers
    -0.65
     Abandon
    -0.64
    cius
    -0.64
    Magikarp
    -0.64
     Gemini
    -0.64
    POSITIVE LOGITS
     crunch
    1.32
    aby
    0.90
     tremend
    0.89
    ãĤ©
    0.87
    ible
    0.81
    ozy
    0.79
    ing
    0.78
    ibly
    0.75
    estamp
    0.75
    ingly
    0.73
    Activations Density 0.009%

    No Known Activations