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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. 4-RES-JB
    11. 12163
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    Explanations

    terms related to physical and metaphorical breaking points or disruptions

    oai_token-act-pair · gpt-3.5-turbo

    references to breaches or violations of rules or laws

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

    No Comments

    Negative Logits
    bnb
    -0.66
    eton
    -0.65
    sbm
    -0.64
     Voters
    -0.63
    ãĤ£
    -0.62
     wisely
    -0.62
     proceeds
    -0.61
    nda
    -0.61
    nih
    -0.60
    oka
    -0.60
    POSITIVE LOGITS
     membranes
    0.76
     membrane
    0.75
     polymer
    0.72
    Sax
    0.71
    Wan
    0.71
    sheets
    0.68
     cycle
    0.66
     optic
    0.62
     seal
    0.62
     whip
    0.62
    Activations Density 0.143%

    No Known Activations