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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. 14638
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    Explanations

    words related to size or scale, particularly emphasizing largeness

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the term "mega."

    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
     Drawn
    -0.78
    ANCE
    -0.74
    ance
    -0.73
    shall
    -0.68
    thia
    -0.68
     Continued
    -0.66
    âķIJâķIJ
    -0.66
    lain
    -0.66
     Bleach
    -0.65
    sburgh
    -0.64
    POSITIVE LOGITS
     mega
    0.98
    ulously
    0.93
    xon
    0.89
     meg
    0.85
     tracts
    0.85
    abyte
    0.74
     predator
    0.72
    econom
    0.70
    economic
    0.69
    verse
    0.69
    Activations Density 0.007%

    No Known Activations