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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. 6573
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    Explanations

    phrases related to potential outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "what happens."

    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
    hetically
    -0.84
    reci
    -0.81
    ondo
    -0.80
    airs
    -0.78
    otor
    -0.77
    mens
    -0.74
    air
    -0.74
    ware
    -0.73
    arta
    -0.72
    ravings
    -0.72
    POSITIVE LOGITS
     happen
    0.86
    terday
    0.81
    EStream
    0.79
    uate
    0.79
     Jagu
    0.77
     happening
    0.76
     Leilan
    0.73
    Ñĭ
    0.72
    ãĤ¡
    0.71
     Cthulhu
    0.70
    Activations Density 0.019%

    No Known Activations