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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. 2-RES-JB
    11. 1702
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    Explanations

    phrases related to food, specifically meat pies from Quebec

    oai_token-act-pair · gpt-3.5-turbo

    references to celestial events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ety
    -0.76
    ibilities
    -0.62
    ãĤ§
    -0.61
    OME
    -0.60
     essentials
    -0.60
    odes
    -0.59
    agi
    -0.59
     formulations
    -0.58
    ole
    -0.58
    everal
    -0.58
    POSITIVE LOGITS
     albeit
    0.97
     huh
    0.93
     although
    0.91
     etc
    0.84
     aka
    0.79
     lest
    0.79
     though
    0.78
     however
    0.76
     which
    0.75
     eh
    0.72
    Activations Density 0.000%

    No Known Activations