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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. 21900
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    Explanations

    words related to tools, techniques, or methods of doing something

    oai_token-act-pair · gpt-3.5-turbo

    instructions for utilizing various tools or techniques

    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
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    No Comments

    Negative Logits
    gdala
    -0.64
     issu
    -0.64
     promulg
    -0.62
     riddled
    -0.62
     Empires
    -0.62
     Sandwich
    -0.60
     Buffett
    -0.60
     Griff
    -0.60
    boxing
    -0.59
     undertaking
    -0.59
    POSITIVE LOGITS
    fully
    1.15
    FUL
    0.96
    full
    0.88
    ful
    0.84
     condoms
    0.83
    fulness
    0.82
     shortcuts
    0.81
    itures
    0.76
    ience
    0.76
    ãĥ¼ãĥĨãĤ£
    0.75
    Activations Density 0.078%

    No Known Activations