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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. 6-RES-JB
    11. 307
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    INDEX
    Explanations

    logical relationships or implications like "therefore" or "thus" between different parts of a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or consequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISION
    -0.67
    ENSE
    -0.67
     Hond
    -0.66
    ament
    -0.66
    rik
    -0.65
    UGH
    -0.64
     Ott
    -0.64
     Saud
    -0.64
    resa
    -0.64
     Nicarag
    -0.63
    POSITIVE LOGITS
    forth
    1.14
     deserve
    0.85
     guiActiveUn
    0.81
     deserves
    0.80
     obliged
    0.78
     qualifies
    0.78
     subjected
    0.78
     enjoys
    0.77
     owe
    0.77
     constitute
    0.77
    Activations Density 0.037%

    No Known Activations